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Uname: Linux wputd 5.4.0-200-generic #220-Ubuntu SMP Fri Sep 27 13:19:16 UTC 2024 x86_64
Software: Apache/2.4.41 (Ubuntu)
PHP version: 7.4.3-4ubuntu2.24 [ PHP INFO ] PHP os: Linux
Server Ip: 158.69.144.88
Your Ip: 3.145.16.251
User: www-data (33) | Group: www-data (33)
Safe Mode: OFF
Disable Function:

pcntl_alarm,pcntl_fork,pcntl_waitpid,pcntl_wait,pcntl_wifexited,pcntl_wifstopped,pcntl_wifsignaled,pcntl_wifcontinued,pcntl_wexitstatus,pcntl_wtermsig,pcntl_wstopsig,pcntl_signal,pcntl_signal_get_handler,pcntl_signal_dispatch,pcntl_get_last_error,pcntl_strerror,pcntl_sigprocmask,pcntl_sigwaitinfo,pcntl_sigtimedwait,pcntl_exec,pcntl_getpriority,pcntl_setpriority,pcntl_async_signals,pcntl_unshare,

upload mass deface mass delete console

name : dmesg.0

[    0.000000] kernel: Linux version 5.4.0-200-generic (buildd@lcy02-amd64-023) (gcc version 9.4.0 (Ubuntu 9.4.0-1ubuntu1~20.04.2)) #220-Ubuntu SMP Fri Sep 27 13:19:16 UTC 2024 (Ubuntu 5.4.0-200.220-generic 5.4.284)
[    0.000000] kernel: Command line: BOOT_IMAGE=/vmlinuz-5.4.0-200-generic root=/dev/mapper/ubuntu--vg-ubuntu--lv ro
[    0.000000] kernel: KERNEL supported cpus:
[    0.000000] kernel:   Intel GenuineIntel
[    0.000000] kernel:   AMD AuthenticAMD
[    0.000000] kernel:   Hygon HygonGenuine
[    0.000000] kernel:   Centaur CentaurHauls
[    0.000000] kernel:   zhaoxin   Shanghai  
[    0.000000] kernel: BIOS-provided physical RAM map:
[    0.000000] kernel: BIOS-e820: [mem 0x0000000000000000-0x000000000009ffff] usable
[    0.000000] kernel: BIOS-e820: [mem 0x00000000000c0000-0x00000000000fffff] reserved
[    0.000000] kernel: BIOS-e820: [mem 0x0000000000100000-0x000000007edf5fff] usable
[    0.000000] kernel: BIOS-e820: [mem 0x000000007edf6000-0x000000007ee00fff] reserved
[    0.000000] kernel: BIOS-e820: [mem 0x000000007ee01000-0x000000007ee01fff] ACPI data
[    0.000000] kernel: BIOS-e820: [mem 0x000000007ee02000-0x000000007eee9fff] usable
[    0.000000] kernel: BIOS-e820: [mem 0x000000007eeea000-0x000000007eef1fff] ACPI data
[    0.000000] kernel: BIOS-e820: [mem 0x000000007eef2000-0x000000007ef1afff] reserved
[    0.000000] kernel: BIOS-e820: [mem 0x000000007ef1b000-0x000000007ff9afff] usable
[    0.000000] kernel: BIOS-e820: [mem 0x000000007ff9b000-0x000000007fff2fff] reserved
[    0.000000] kernel: BIOS-e820: [mem 0x000000007fff3000-0x000000007fffafff] ACPI data
[    0.000000] kernel: BIOS-e820: [mem 0x000000007fffb000-0x000000007fffefff] ACPI NVS
[    0.000000] kernel: BIOS-e820: [mem 0x000000007ffff000-0x000000007fffffff] usable
[    0.000000] kernel: NX (Execute Disable) protection: active
[    0.000000] kernel: efi: EFI v2.70 by Microsoft
[    0.000000] kernel: efi:  ACPI=0x7fffa000  ACPI 2.0=0x7fffa014  SMBIOS=0x7ffd8000  SMBIOS 3.0=0x7ffd6000  MEMATTR=0x7fa94418  MOKvar=0x7ffd0000 
[    0.000000] kernel: secureboot: Secure boot disabled
[    0.000000] kernel: SMBIOS 3.1.1 present.
[    0.000000] kernel: DMI: Microsoft Corporation Virtual Machine/Virtual Machine, BIOS Hyper-V UEFI Release v4.0 12/17/2019
[    0.000000] kernel: Hypervisor detected: Microsoft Hyper-V
[    0.000000] kernel: Hyper-V: features 0x2e7f, hints 0x62c2c, misc 0xbed7b2
[    0.000000] kernel: Hyper-V Host Build:17763-10.0-1-0.1098
[    0.000000] kernel: Hyper-V: LAPIC Timer Frequency: 0xc3500
[    0.000000] kernel: tsc: Marking TSC unstable due to running on Hyper-V
[    0.000000] kernel: Hyper-V: Using hypercall for remote TLB flush
[    0.000000] kernel: clocksource: hyperv_clocksource_tsc_page: mask: 0xffffffffffffffff max_cycles: 0x24e6a1710, max_idle_ns: 440795202120 ns
[    0.000001] kernel: tsc: Detected 3499.997 MHz processor
[    0.000012] kernel: e820: update [mem 0x00000000-0x00000fff] usable ==> reserved
[    0.000013] kernel: e820: remove [mem 0x000a0000-0x000fffff] usable
[    0.000016] kernel: last_pfn = 0x80000 max_arch_pfn = 0x400000000
[    0.000033] kernel: MTRR default type: uncachable
[    0.000033] kernel: MTRR fixed ranges enabled:
[    0.000034] kernel:   00000-9FFFF write-back
[    0.000035] kernel:   A0000-FFFFF uncachable
[    0.000035] kernel: MTRR variable ranges enabled:
[    0.000036] kernel:   0 base 00000000000 mask FFF00000000 write-back
[    0.000037] kernel:   1 disabled
[    0.000037] kernel:   2 disabled
[    0.000037] kernel:   3 disabled
[    0.000037] kernel:   4 disabled
[    0.000038] kernel:   5 disabled
[    0.000038] kernel:   6 disabled
[    0.000038] kernel:   7 disabled
[    0.000044] kernel: x86/PAT: Configuration [0-7]: WB  WC  UC- UC  WB  WP  UC- WT  
[    0.005578] kernel: check: Scanning 1 areas for low memory corruption
[    0.005584] kernel: Using GB pages for direct mapping
[    0.005829] kernel: secureboot: Secure boot disabled
[    0.005830] kernel: RAMDISK: [mem 0x6d40d000-0x727ccfff]
[    0.005834] kernel: ACPI: Early table checksum verification disabled
[    0.005837] kernel: ACPI: RSDP 0x000000007FFFA014 000024 (v02 VRTUAL)
[    0.005840] kernel: ACPI: XSDT 0x000000007FFF90E8 00005C (v01 VRTUAL MICROSFT 00000001 MSFT 00000001)
[    0.005844] kernel: ACPI: FACP 0x000000007FFF7000 000114 (v06 VRTUAL MICROSFT 00000001 MSFT 00000001)
[    0.005848] kernel: ACPI: DSDT 0x000000007EEEA000 0078C1 (v02 MSFTVM DSDT01   00000001 MSFT 05000000)
[    0.005850] kernel: ACPI: FACS 0x000000007FFFE000 000040
[    0.005852] kernel: ACPI: APIC 0x000000007FFF8000 0007D2 (v02 VRTUAL MICROSFT 00000001 MSFT 00000001)
[    0.005854] kernel: ACPI: OEM0 0x000000007FFF6000 000064 (v01 VRTUAL MICROSFT 00000001 MSFT 00000001)
[    0.005856] kernel: ACPI: WAET 0x000000007FFF5000 000028 (v01 VRTUAL MICROSFT 00000001 MSFT 00000001)
[    0.005858] kernel: ACPI: SRAT 0x000000007FFF4000 000180 (v02 VRTUAL MICROSFT 00000001 MSFT 00000001)
[    0.005860] kernel: ACPI: FPDT 0x000000007FFF3000 000034 (v01 VRTUAL MICROSFT 00000001 MSFT 00000001)
[    0.005863] kernel: ACPI: BGRT 0x000000007EE01000 000038 (v01 VRTUAL MICROSFT 00000001 MSFT 00000001)
[    0.005864] kernel: ACPI: Reserving FACP table memory at [mem 0x7fff7000-0x7fff7113]
[    0.005865] kernel: ACPI: Reserving DSDT table memory at [mem 0x7eeea000-0x7eef18c0]
[    0.005866] kernel: ACPI: Reserving FACS table memory at [mem 0x7fffe000-0x7fffe03f]
[    0.005867] kernel: ACPI: Reserving APIC table memory at [mem 0x7fff8000-0x7fff87d1]
[    0.005867] kernel: ACPI: Reserving OEM0 table memory at [mem 0x7fff6000-0x7fff6063]
[    0.005868] kernel: ACPI: Reserving WAET table memory at [mem 0x7fff5000-0x7fff5027]
[    0.005868] kernel: ACPI: Reserving SRAT table memory at [mem 0x7fff4000-0x7fff417f]
[    0.005869] kernel: ACPI: Reserving FPDT table memory at [mem 0x7fff3000-0x7fff3033]
[    0.005870] kernel: ACPI: Reserving BGRT table memory at [mem 0x7ee01000-0x7ee01037]
[    0.005878] kernel: ACPI: Local APIC address 0xfee00000
[    0.005903] kernel: SRAT: PXM 0 -> APIC 0x00 -> Node 0
[    0.005905] kernel: ACPI: SRAT: Node 0 PXM 0 [mem 0x00000000-0x7fffffff] hotplug
[    0.005906] kernel: ACPI: SRAT: Node 0 PXM 0 [mem 0x80000000-0xf7ffffff] hotplug
[    0.005907] kernel: ACPI: SRAT: Node 0 PXM 0 [mem 0x100000000-0xfdfffffff] hotplug
[    0.005908] kernel: ACPI: SRAT: Node 0 PXM 0 [mem 0x1000000000-0xffffffffff] hotplug
[    0.005908] kernel: ACPI: SRAT: Node 0 PXM 0 [mem 0x10000000000-0x1ffffffffff] hotplug
[    0.005909] kernel: ACPI: SRAT: Node 0 PXM 0 [mem 0x20000000000-0x3ffffffffff] hotplug
[    0.005910] kernel: ACPI: SRAT: Node 0 PXM 0 [mem 0x40000000000-0x7ffffffffff] hotplug
[    0.005910] kernel: ACPI: SRAT: Node 0 PXM 0 [mem 0x80000000000-0xfffffffffff] hotplug
[    0.005918] kernel: NODE_DATA(0) allocated [mem 0x7fdf0000-0x7fe1afff]
[    0.006071] kernel: Zone ranges:
[    0.006072] kernel:   DMA      [mem 0x0000000000001000-0x0000000000ffffff]
[    0.006073] kernel:   DMA32    [mem 0x0000000001000000-0x000000007fffffff]
[    0.006073] kernel:   Normal   empty
[    0.006074] kernel:   Device   empty
[    0.006075] kernel: Movable zone start for each node
[    0.006077] kernel: Early memory node ranges
[    0.006078] kernel:   node   0: [mem 0x0000000000001000-0x000000000009ffff]
[    0.006078] kernel:   node   0: [mem 0x0000000000100000-0x000000007edf5fff]
[    0.006079] kernel:   node   0: [mem 0x000000007ee02000-0x000000007eee9fff]
[    0.006080] kernel:   node   0: [mem 0x000000007ef1b000-0x000000007ff9afff]
[    0.006080] kernel:   node   0: [mem 0x000000007ffff000-0x000000007fffffff]
[    0.006084] kernel: Zeroed struct page in unavailable ranges: 258 pages
[    0.006085] kernel: Initmem setup node 0 [mem 0x0000000000001000-0x000000007fffffff]
[    0.006086] kernel: On node 0 totalpages: 524030
[    0.006087] kernel:   DMA zone: 64 pages used for memmap
[    0.006087] kernel:   DMA zone: 1345 pages reserved
[    0.006088] kernel:   DMA zone: 3999 pages, LIFO batch:0
[    0.006127] kernel:   DMA32 zone: 8128 pages used for memmap
[    0.006128] kernel:   DMA32 zone: 520031 pages, LIFO batch:63
[    0.010870] kernel: ACPI: PM-Timer IO Port: 0x408
[    0.010873] kernel: ACPI: Local APIC address 0xfee00000
[    0.010883] kernel: ACPI: LAPIC_NMI (acpi_id[0xff] dfl dfl lint[0x1])
[    0.011917] kernel: IOAPIC[0]: apic_id 1, version 17, address 0xfec00000, GSI 0-23
[    0.011921] kernel: ACPI: INT_SRC_OVR (bus 0 bus_irq 0 global_irq 2 dfl dfl)
[    0.011923] kernel: ACPI: INT_SRC_OVR (bus 0 bus_irq 9 global_irq 9 high level)
[    0.011925] kernel: ACPI: IRQ0 used by override.
[    0.011925] kernel: ACPI: IRQ9 used by override.
[    0.011927] kernel: Using ACPI (MADT) for SMP configuration information
[    0.011934] kernel: e820: update [mem 0x7f3ba000-0x7f3c0fff] usable ==> reserved
[    0.011943] kernel: smpboot: Allowing 240 CPUs, 239 hotplug CPUs
[    0.011957] kernel: PM: Registered nosave memory: [mem 0x00000000-0x00000fff]
[    0.011958] kernel: PM: Registered nosave memory: [mem 0x000a0000-0x000bffff]
[    0.011958] kernel: PM: Registered nosave memory: [mem 0x000c0000-0x000fffff]
[    0.011959] kernel: PM: Registered nosave memory: [mem 0x7edf6000-0x7ee00fff]
[    0.011960] kernel: PM: Registered nosave memory: [mem 0x7ee01000-0x7ee01fff]
[    0.011961] kernel: PM: Registered nosave memory: [mem 0x7eeea000-0x7eef1fff]
[    0.011961] kernel: PM: Registered nosave memory: [mem 0x7eef2000-0x7ef1afff]
[    0.011963] kernel: PM: Registered nosave memory: [mem 0x7f3ba000-0x7f3c0fff]
[    0.011964] kernel: PM: Registered nosave memory: [mem 0x7ff9b000-0x7fff2fff]
[    0.011964] kernel: PM: Registered nosave memory: [mem 0x7fff3000-0x7fffafff]
[    0.011965] kernel: PM: Registered nosave memory: [mem 0x7fffb000-0x7fffefff]
[    0.011966] kernel: [mem 0x80000000-0xffffffff] available for PCI devices
[    0.011967] kernel: Booting paravirtualized kernel on Hyper-V
[    0.011969] kernel: clocksource: refined-jiffies: mask: 0xffffffff max_cycles: 0xffffffff, max_idle_ns: 7645519600211568 ns
[    0.011973] kernel: setup_percpu: NR_CPUS:8192 nr_cpumask_bits:240 nr_cpu_ids:240 nr_node_ids:1
[    0.020010] kernel: percpu: Embedded 60 pages/cpu s208896 r8192 d28672 u262144
[    0.020022] kernel: pcpu-alloc: s208896 r8192 d28672 u262144 alloc=1*2097152
[    0.020022] kernel: pcpu-alloc: [0] 000 001 002 003 004 005 006 007 
[    0.020024] kernel: pcpu-alloc: [0] 008 009 010 011 012 013 014 015 
[    0.020025] kernel: pcpu-alloc: [0] 016 017 018 019 020 021 022 023 
[    0.020027] kernel: pcpu-alloc: [0] 024 025 026 027 028 029 030 031 
[    0.020028] kernel: pcpu-alloc: [0] 032 033 034 035 036 037 038 039 
[    0.020029] kernel: pcpu-alloc: [0] 040 041 042 043 044 045 046 047 
[    0.020031] kernel: pcpu-alloc: [0] 048 049 050 051 052 053 054 055 
[    0.020032] kernel: pcpu-alloc: [0] 056 057 058 059 060 061 062 063 
[    0.020033] kernel: pcpu-alloc: [0] 064 065 066 067 068 069 070 071 
[    0.020035] kernel: pcpu-alloc: [0] 072 073 074 075 076 077 078 079 
[    0.020036] kernel: pcpu-alloc: [0] 080 081 082 083 084 085 086 087 
[    0.020037] kernel: pcpu-alloc: [0] 088 089 090 091 092 093 094 095 
[    0.020038] kernel: pcpu-alloc: [0] 096 097 098 099 100 101 102 103 
[    0.020040] kernel: pcpu-alloc: [0] 104 105 106 107 108 109 110 111 
[    0.020041] kernel: pcpu-alloc: [0] 112 113 114 115 116 117 118 119 
[    0.020042] kernel: pcpu-alloc: [0] 120 121 122 123 124 125 126 127 
[    0.020044] kernel: pcpu-alloc: [0] 128 129 130 131 132 133 134 135 
[    0.020045] kernel: pcpu-alloc: [0] 136 137 138 139 140 141 142 143 
[    0.020046] kernel: pcpu-alloc: [0] 144 145 146 147 148 149 150 151 
[    0.020048] kernel: pcpu-alloc: [0] 152 153 154 155 156 157 158 159 
[    0.020049] kernel: pcpu-alloc: [0] 160 161 162 163 164 165 166 167 
[    0.020050] kernel: pcpu-alloc: [0] 168 169 170 171 172 173 174 175 
[    0.020052] kernel: pcpu-alloc: [0] 176 177 178 179 180 181 182 183 
[    0.020053] kernel: pcpu-alloc: [0] 184 185 186 187 188 189 190 191 
[    0.020054] kernel: pcpu-alloc: [0] 192 193 194 195 196 197 198 199 
[    0.020056] kernel: pcpu-alloc: [0] 200 201 202 203 204 205 206 207 
[    0.020057] kernel: pcpu-alloc: [0] 208 209 210 211 212 213 214 215 
[    0.020058] kernel: pcpu-alloc: [0] 216 217 218 219 220 221 222 223 
[    0.020060] kernel: pcpu-alloc: [0] 224 225 226 227 228 229 230 231 
[    0.020061] kernel: pcpu-alloc: [0] 232 233 234 235 236 237 238 239 
[    0.020094] kernel: Hyper-V: PV spinlocks enabled
[    0.020098] kernel: PV qspinlock hash table entries: 512 (order: 1, 8192 bytes, linear)
[    0.020109] kernel: Built 1 zonelists, mobility grouping on.  Total pages: 514493
[    0.020109] kernel: Policy zone: DMA32
[    0.020111] kernel: Kernel command line: BOOT_IMAGE=/vmlinuz-5.4.0-200-generic root=/dev/mapper/ubuntu--vg-ubuntu--lv ro
[    0.020198] kernel: printk: log_buf_len individual max cpu contribution: 4096 bytes
[    0.020199] kernel: printk: log_buf_len total cpu_extra contributions: 978944 bytes
[    0.020200] kernel: printk: log_buf_len min size: 262144 bytes
[    0.020366] kernel: printk: log_buf_len: 2097152 bytes
[    0.020367] kernel: printk: early log buf free: 250228(95%)
[    0.020499] kernel: Dentry cache hash table entries: 262144 (order: 9, 2097152 bytes, linear)
[    0.020565] kernel: Inode-cache hash table entries: 131072 (order: 8, 1048576 bytes, linear)
[    0.025581] kernel: mem auto-init: stack:off, heap alloc:on, heap free:off
[    0.029830] kernel: Calgary: detecting Calgary via BIOS EBDA area
[    0.029832] kernel: Calgary: Unable to locate Rio Grande table in EBDA - bailing!
[    0.033819] kernel: Memory: 1787344K/2096120K available (14339K kernel code, 2396K rwdata, 9316K rodata, 2772K init, 17220K bss, 308776K reserved, 0K cma-reserved)
[    0.034341] kernel: SLUB: HWalign=64, Order=0-3, MinObjects=0, CPUs=240, Nodes=1
[    0.034366] kernel: Kernel/User page tables isolation: enabled
[    0.034576] kernel: ftrace: allocating 44745 entries in 175 pages
[    0.046013] kernel: ftrace: allocated 175 pages with 6 groups
[    0.046758] kernel: rcu: Hierarchical RCU implementation.
[    0.046759] kernel: rcu:         RCU restricting CPUs from NR_CPUS=8192 to nr_cpu_ids=240.
[    0.046760] kernel:         Tasks RCU enabled.
[    0.046761] kernel: rcu: RCU calculated value of scheduler-enlistment delay is 25 jiffies.
[    0.046761] kernel: rcu: Adjusting geometry for rcu_fanout_leaf=16, nr_cpu_ids=240
[    0.048746] kernel: Using NULL legacy PIC
[    0.048747] kernel: NR_IRQS: 524544, nr_irqs: 2344, preallocated irqs: 0
[    0.049626] kernel: random: crng init done
[    0.049770] kernel: Console: colour dummy device 80x25
[    0.049891] kernel: printk: console [tty0] enabled
[    0.049938] kernel: ACPI: Core revision 20190816
[    0.050014] kernel: Failed to register legacy timer interrupt
[    0.050016] kernel: APIC: Switch to symmetric I/O mode setup
[    0.050019] kernel: Switched APIC routing to physical flat.
[    0.050041] kernel: Hyper-V: Using IPI hypercalls
[    0.050042] kernel: Hyper-V: Using enlightened APIC (xapic mode)
[    0.050227] kernel: Calibrating delay loop (skipped), value calculated using timer frequency.. 6999.99 BogoMIPS (lpj=13999988)
[    0.050533] kernel: Last level iTLB entries: 4KB 1024, 2MB 1024, 4MB 1024
[    0.050535] kernel: Last level dTLB entries: 4KB 1024, 2MB 1024, 4MB 1024, 1GB 4
[    0.050539] kernel: Spectre V1 : Mitigation: usercopy/swapgs barriers and __user pointer sanitization
[    0.050541] kernel: Spectre V2 : Mitigation: Retpolines
[    0.050542] kernel: Spectre V2 : Spectre v2 / SpectreRSB mitigation: Filling RSB on context switch
[    0.050544] kernel: Spectre V2 : Spectre v2 / SpectreRSB : Filling RSB on VMEXIT
[    0.050545] kernel: Spectre V2 : Enabling Restricted Speculation for firmware calls
[    0.050547] kernel: Spectre V2 : mitigation: Enabling conditional Indirect Branch Prediction Barrier
[    0.050549] kernel: Speculative Store Bypass: Mitigation: Speculative Store Bypass disabled via prctl and seccomp
[    0.050554] kernel: MDS: Mitigation: Clear CPU buffers
[    0.050555] kernel: MMIO Stale Data: Mitigation: Clear CPU buffers
[    0.050566] kernel: x86/fpu: Supporting XSAVE feature 0x001: 'x87 floating point registers'
[    0.050567] kernel: x86/fpu: Supporting XSAVE feature 0x002: 'SSE registers'
[    0.050569] kernel: x86/fpu: Supporting XSAVE feature 0x004: 'AVX registers'
[    0.050570] kernel: x86/fpu: xstate_offset[2]:  576, xstate_sizes[2]:  256
[    0.050572] kernel: x86/fpu: Enabled xstate features 0x7, context size is 832 bytes, using 'standard' format.
[    0.054225] kernel: pid_max: default: 245760 minimum: 1920
[    0.054225] kernel: LSM: Security Framework initializing
[    0.054225] kernel: Yama: becoming mindful.
[    0.054225] kernel: AppArmor: AppArmor initialized
[    0.054225] kernel: Mount-cache hash table entries: 4096 (order: 3, 32768 bytes, linear)
[    0.054225] kernel: Mountpoint-cache hash table entries: 4096 (order: 3, 32768 bytes, linear)
[    0.054225] kernel: *** VALIDATE tmpfs ***
[    0.054225] kernel: *** VALIDATE proc ***
[    0.054225] kernel: *** VALIDATE cgroup1 ***
[    0.054225] kernel: *** VALIDATE cgroup2 ***
[    0.054225] kernel: smpboot: CPU0: Intel(R) Xeon(R) CPU E5-1650 v3 @ 3.50GHz (family: 0x6, model: 0x3f, stepping: 0x2)
[    0.054225] kernel: Performance Events: unsupported p6 CPU model 63 no PMU driver, software events only.
[    0.054225] kernel: rcu: Hierarchical SRCU implementation.
[    0.054225] kernel: NMI watchdog: Perf NMI watchdog permanently disabled
[    0.054225] kernel: smp: Bringing up secondary CPUs ...
[    0.054225] kernel: smp: Brought up 1 node, 1 CPU
[    0.054225] kernel: smpboot: Max logical packages: 240
[    0.054225] kernel: smpboot: Total of 1 processors activated (6999.99 BogoMIPS)
[    0.054225] kernel: devtmpfs: initialized
[    0.054225] kernel: x86/mm: Memory block size: 128MB
[    0.054225] kernel: PM: Registering ACPI NVS region [mem 0x7fffb000-0x7fffefff] (16384 bytes)
[    0.054225] kernel: clocksource: jiffies: mask: 0xffffffff max_cycles: 0xffffffff, max_idle_ns: 7645041785100000 ns
[    0.054225] kernel: futex hash table entries: 65536 (order: 10, 4194304 bytes, linear)
[    0.054225] kernel: pinctrl core: initialized pinctrl subsystem
[    0.054231] kernel: PM: RTC time: 16:56:26, date: 2024-11-28
[    0.054406] kernel: NET: Registered protocol family 16
[    0.054460] kernel: audit: initializing netlink subsys (disabled)
[    0.054555] kernel: EISA bus registered
[    0.054558] kernel: cpuidle: using governor ladder
[    0.054559] kernel: cpuidle: using governor menu
[    0.054587] kernel: ACPI: bus type PCI registered
[    0.054589] kernel: acpiphp: ACPI Hot Plug PCI Controller Driver version: 0.5
[    0.055716] kernel: audit: type=2000 audit(1732812986.004:1): state=initialized audit_enabled=0 res=1
[    0.055856] kernel: HugeTLB registered 1.00 GiB page size, pre-allocated 0 pages
[    0.055858] kernel: HugeTLB registered 2.00 MiB page size, pre-allocated 0 pages
[    0.056697] kernel: fbcon: Taking over console
[    0.056818] kernel: ACPI: Added _OSI(Module Device)
[    0.056819] kernel: ACPI: Added _OSI(Processor Device)
[    0.056820] kernel: ACPI: Added _OSI(3.0 _SCP Extensions)
[    0.056822] kernel: ACPI: Added _OSI(Processor Aggregator Device)
[    0.056823] kernel: ACPI: Added _OSI(Linux-Dell-Video)
[    0.056824] kernel: ACPI: Added _OSI(Linux-Lenovo-NV-HDMI-Audio)
[    0.056825] kernel: ACPI: Added _OSI(Linux-HPI-Hybrid-Graphics)
[    0.057854] kernel: ACPI: 1 ACPI AML tables successfully acquired and loaded
[    0.060343] kernel: ACPI: Interpreter enabled
[    0.060352] kernel: ACPI: (supports S0 S5)
[    0.060353] kernel: ACPI: Using IOAPIC for interrupt routing
[    0.060361] kernel: PCI: Using host bridge windows from ACPI; if necessary, use "pci=nocrs" and report a bug
[    0.060495] kernel: ACPI: Enabled 1 GPEs in block 00 to 0F
[    0.061727] kernel: iommu: Default domain type: Translated 
[    0.061871] kernel: SCSI subsystem initialized
[    0.061944] kernel: libata version 3.00 loaded.
[    0.061962] kernel: vgaarb: loaded
[    0.061974] kernel: ACPI: bus type USB registered
[    0.061982] kernel: usbcore: registered new interface driver usbfs
[    0.061987] kernel: usbcore: registered new interface driver hub
[    0.062059] kernel: usbcore: registered new device driver usb
[    0.062075] kernel: pps_core: LinuxPPS API ver. 1 registered
[    0.062076] kernel: pps_core: Software ver. 5.3.6 - Copyright 2005-2007 Rodolfo Giometti <giometti@linux.it>
[    0.062079] kernel: PTP clock support registered
[    0.062346] kernel: EDAC MC: Ver: 3.0.0
[    0.062385] kernel: Registered efivars operations
[    0.062428] kernel: PCI: Using ACPI for IRQ routing
[    0.062429] kernel: PCI: System does not support PCI
[    0.062526] kernel: NetLabel: Initializing
[    0.062528] kernel: NetLabel:  domain hash size = 128
[    0.062529] kernel: NetLabel:  protocols = UNLABELED CIPSOv4 CALIPSO
[    0.062538] kernel: NetLabel:  unlabeled traffic allowed by default
[    0.063721] kernel: clocksource: Switched to clocksource hyperv_clocksource_tsc_page
[    0.071454] kernel: *** VALIDATE bpf ***
[    0.071588] kernel: VFS: Disk quotas dquot_6.6.0
[    0.071639] kernel: VFS: Dquot-cache hash table entries: 512 (order 0, 4096 bytes)
[    0.071656] kernel: *** VALIDATE ramfs ***
[    0.071669] kernel: *** VALIDATE hugetlbfs ***
[    0.071787] kernel: AppArmor: AppArmor Filesystem Enabled
[    0.071804] kernel: pnp: PnP ACPI init
[    0.071860] kernel: pnp 00:00: Plug and Play ACPI device, IDs PNP0b00 (active)
[    0.071868] kernel: pnp: PnP ACPI: found 1 devices
[    0.072533] kernel: thermal_sys: Registered thermal governor 'fair_share'
[    0.072534] kernel: thermal_sys: Registered thermal governor 'bang_bang'
[    0.072536] kernel: thermal_sys: Registered thermal governor 'step_wise'
[    0.072537] kernel: thermal_sys: Registered thermal governor 'user_space'
[    0.072538] kernel: thermal_sys: Registered thermal governor 'power_allocator'
[    0.077021] kernel: clocksource: acpi_pm: mask: 0xffffff max_cycles: 0xffffff, max_idle_ns: 2085701024 ns
[    0.077119] kernel: NET: Registered protocol family 2
[    0.077166] kernel: IP idents hash table entries: 32768 (order: 6, 262144 bytes, linear)
[    0.078010] kernel: tcp_listen_portaddr_hash hash table entries: 1024 (order: 2, 16384 bytes, linear)
[    0.078042] kernel: TCP established hash table entries: 16384 (order: 5, 131072 bytes, linear)
[    0.078075] kernel: TCP bind hash table entries: 16384 (order: 6, 262144 bytes, linear)
[    0.078089] kernel: TCP: Hash tables configured (established 16384 bind 16384)
[    0.078258] kernel: UDP hash table entries: 1024 (order: 3, 32768 bytes, linear)
[    0.078266] kernel: UDP-Lite hash table entries: 1024 (order: 3, 32768 bytes, linear)
[    0.078441] kernel: NET: Registered protocol family 1
[    0.078445] kernel: NET: Registered protocol family 44
[    0.078447] kernel: PCI: CLS 0 bytes, default 64
[    0.078472] kernel: Trying to unpack rootfs image as initramfs...
[    0.213831] kernel: Freeing initrd memory: 85760K
[    0.213871] kernel: PCI-DMA: Using software bounce buffering for IO (SWIOTLB)
[    0.213873] kernel: software IO TLB: mapped [mem 0x74e00000-0x78e00000] (64MB)
[    0.214083] kernel: check: Scanning for low memory corruption every 60 seconds
[    0.215394] kernel: Initialise system trusted keyrings
[    0.215401] kernel: Key type blacklist registered
[    0.215433] kernel: workingset: timestamp_bits=36 max_order=19 bucket_order=0
[    0.216219] kernel: zbud: loaded
[    0.216589] kernel: squashfs: version 4.0 (2009/01/31) Phillip Lougher
[    0.216769] kernel: fuse: init (API version 7.31)
[    0.216791] kernel: *** VALIDATE fuse ***
[    0.216793] kernel: *** VALIDATE fuse ***
[    0.216890] kernel: Platform Keyring initialized
[    0.219721] kernel: Key type asymmetric registered
[    0.219724] kernel: Asymmetric key parser 'x509' registered
[    0.219732] kernel: Block layer SCSI generic (bsg) driver version 0.4 loaded (major 244)
[    0.219813] kernel: io scheduler mq-deadline registered
[    0.219874] kernel: shpchp: Standard Hot Plug PCI Controller Driver version: 0.4
[    0.219928] kernel: efifb: probing for efifb
[    0.219937] kernel: efifb: framebuffer at 0xf8000000, using 3072k, total 3072k
[    0.219939] kernel: efifb: mode is 1024x768x32, linelength=4096, pages=1
[    0.219940] kernel: efifb: scrolling: redraw
[    0.219941] kernel: efifb: Truecolor: size=8:8:8:8, shift=24:16:8:0
[    0.219996] kernel: Console: switching to colour frame buffer device 128x48
[    0.222568] kernel: fb0: EFI VGA frame buffer device
[    0.222585] kernel: intel_idle: Please enable MWAIT in BIOS SETUP
[    0.222784] kernel: Serial: 8250/16550 driver, 32 ports, IRQ sharing enabled
[    0.223589] kernel: Linux agpgart interface v0.103
[    0.320775] kernel: loop: module loaded
[    0.321325] kernel: tun: Universal TUN/TAP device driver, 1.6
[    0.321618] kernel: PPP generic driver version 2.4.2
[    0.321718] kernel: VFIO - User Level meta-driver version: 0.3
[    0.322027] kernel: ehci_hcd: USB 2.0 'Enhanced' Host Controller (EHCI) Driver
[    0.322076] kernel: ehci-pci: EHCI PCI platform driver
[    0.322249] kernel: ehci-platform: EHCI generic platform driver
[    0.322296] kernel: ohci_hcd: USB 1.1 'Open' Host Controller (OHCI) Driver
[    0.322423] kernel: ohci-pci: OHCI PCI platform driver
[    0.322496] kernel: ohci-platform: OHCI generic platform driver
[    0.322656] kernel: uhci_hcd: USB Universal Host Controller Interface driver
[    0.322772] kernel: i8042: PNP: No PS/2 controller found.
[    0.323000] kernel: mousedev: PS/2 mouse device common for all mice
[    0.323876] kernel: rtc_cmos 00:00: RTC can wake from S4
[    0.331784] kernel: rtc_cmos 00:00: registered as rtc0
[    0.331837] kernel: rtc_cmos 00:00: alarms up to one month, 114 bytes nvram
[    0.332029] kernel: i2c /dev entries driver
[    0.332169] kernel: device-mapper: uevent: version 1.0.3
[    0.332457] kernel: device-mapper: ioctl: 4.41.0-ioctl (2019-09-16) initialised: dm-devel@redhat.com
[    0.332539] kernel: platform eisa.0: Probing EISA bus 0
[    0.335743] kernel: platform eisa.0: EISA: Detected 0 cards
[    0.337007] kernel: intel_pstate: CPU model not supported
[    0.338244] kernel: ledtrig-cpu: registered to indicate activity on CPUs
[    0.339469] kernel: EFI Variables Facility v0.08 2004-May-17
[    0.351979] kernel: drop_monitor: Initializing network drop monitor service
[    0.352670] kernel: NET: Registered protocol family 10
[    0.357913] kernel: Segment Routing with IPv6
[    0.358530] kernel: NET: Registered protocol family 17
[    0.359051] kernel: Key type dns_resolver registered
[    0.359609] kernel: RAS: Correctable Errors collector initialized.
[    0.360231] kernel: IPI shorthand broadcast: enabled
[    0.360810] kernel: registered taskstats version 1
[    0.361316] kernel: Loading compiled-in X.509 certificates
[    0.362343] kernel: Loaded X.509 cert 'Build time autogenerated kernel key: 820dd9f001285b472288d0574f75a54b95ca9154'
[    0.363353] kernel: Loaded X.509 cert 'Canonical Ltd. Live Patch Signing: 14df34d1a87cf37625abec039ef2bf521249b969'
[    0.364360] kernel: Loaded X.509 cert 'Canonical Ltd. Kernel Module Signing: 88f752e560a1e0737e31163a466ad7b70a850c19'
[    0.364903] kernel: blacklist: Loading compiled-in revocation X.509 certificates
[    0.365488] kernel: Loaded X.509 cert 'Canonical Ltd. Secure Boot Signing: 61482aa2830d0ab2ad5af10b7250da9033ddcef0'
[    0.366057] kernel: Loaded X.509 cert 'Canonical Ltd. Secure Boot Signing (2017): 242ade75ac4a15e50d50c84b0d45ff3eae707a03'
[    0.366610] kernel: Loaded X.509 cert 'Canonical Ltd. Secure Boot Signing (ESM 2018): 365188c1d374d6b07c3c8f240f8ef722433d6a8b'
[    0.367164] kernel: Loaded X.509 cert 'Canonical Ltd. Secure Boot Signing (2019): c0746fd6c5da3ae827864651ad66ae47fe24b3e8'
[    0.367743] kernel: Loaded X.509 cert 'Canonical Ltd. Secure Boot Signing (2021 v1): a8d54bbb3825cfb94fa13c9f8a594a195c107b8d'
[    0.368329] kernel: Loaded X.509 cert 'Canonical Ltd. Secure Boot Signing (2021 v2): 4cf046892d6fd3c9a5b03f98d845f90851dc6a8c'
[    0.368904] kernel: Loaded X.509 cert 'Canonical Ltd. Secure Boot Signing (2021 v3): 100437bb6de6e469b581e61cd66bce3ef4ed53af'
[    0.369460] kernel: Loaded X.509 cert 'Canonical Ltd. Secure Boot Signing (Ubuntu Core 2019): c1d57b8f6b743f23ee41f4f7ee292f06eecadfb9'
[    0.370616] kernel: zswap: loaded using pool lzo/zbud
[    0.371196] kernel: Key type ._fscrypt registered
[    0.371736] kernel: Key type .fscrypt registered
[    0.376177] kernel: Key type big_key registered
[    0.379483] kernel: Key type encrypted registered
[    0.380015] kernel: AppArmor: AppArmor sha1 policy hashing enabled
[    0.381863] kernel: integrity: Loading X.509 certificate: UEFI:db
[    0.382413] kernel: integrity: Loaded X.509 cert 'Microsoft Windows Production PCA 2011: a92902398e16c49778cd90f99e4f9ae17c55af53'
[    0.383927] kernel: integrity: Loading X.509 certificate: UEFI:MokListRT (MOKvar table)
[    0.384701] kernel: integrity: Loaded X.509 cert 'Canonical Ltd. Master Certificate Authority: ad91990bc22ab1f517048c23b6655a268e345a63'
[    0.385832] kernel: ima: No TPM chip found, activating TPM-bypass!
[    0.386407] kernel: ima: Allocated hash algorithm: sha1
[    0.386978] kernel: ima: No architecture policies found
[    0.387549] kernel: evm: Initialising EVM extended attributes:
[    0.388117] kernel: evm: security.selinux
[    0.388689] kernel: evm: security.SMACK64
[    0.389247] kernel: evm: security.SMACK64EXEC
[    0.389796] kernel: evm: security.SMACK64TRANSMUTE
[    0.390340] kernel: evm: security.SMACK64MMAP
[    0.390872] kernel: evm: security.apparmor
[    0.391390] kernel: evm: security.ima
[    0.391905] kernel: evm: security.capability
[    0.392416] kernel: evm: HMAC attrs: 0x1
[    0.393128] kernel: PM:   Magic number: 0:724:945
[    0.393684] kernel: clockevents clockevent30: hash matches
[    0.394197] kernel: tty tty2: hash matches
[    0.394697] kernel: processor cpu0: hash matches
[    0.396079] kernel: rtc_cmos 00:00: setting system clock to 2024-11-28T16:56:26 UTC (1732812986)
[    0.396766] kernel: Unstable clock detected, switching default tracing clock to "global"
                       If you want to keep using the local clock, then add:
                         "trace_clock=local"
                       on the kernel command line
[    0.398820] kernel: clk: Disabling unused clocks
[    0.399974] kernel: Freeing unused decrypted memory: 2040K
[    0.400859] kernel: Freeing unused kernel image memory: 2772K
[    0.408636] kernel: Write protecting the kernel read-only data: 26624k
[    0.409726] kernel: Freeing unused kernel image memory: 2036K
[    0.410375] kernel: Freeing unused kernel image memory: 924K
[    0.419131] kernel: x86/mm: Checked W+X mappings: passed, no W+X pages found.
[    0.419598] kernel: x86/mm: Checking user space page tables
[    0.428238] kernel: x86/mm: Checked W+X mappings: passed, no W+X pages found.
[    0.430298] kernel: Run /init as init process
[    0.530844] kernel: hv_vmbus: Vmbus version:5.0
[    0.579598] kernel: cryptd: max_cpu_qlen set to 1000
[    0.608063] kernel: AVX2 version of gcm_enc/dec engaged.
[    0.610115] kernel: AES CTR mode by8 optimization enabled
[    0.613855] kernel: hv_vmbus: registering driver hyperv_keyboard
[    0.614774] kernel: input: AT Translated Set 2 keyboard as /devices/LNXSYSTM:00/LNXSYBUS:00/ACPI0004:00/VMBUS:00/d34b2567-b9b6-42b9-8778-0a4ec0b955bf/serio0/input/input0
[    0.618677] kernel: hv_utils: Registering HyperV Utility Driver
[    0.619161] kernel: hv_vmbus: registering driver hv_utils
[    0.621671] kernel: hidraw: raw HID events driver (C) Jiri Kosina
[    0.625968] kernel: hv_vmbus: registering driver hv_storvsc
[    0.630700] kernel: hv_vmbus: registering driver hv_netvsc
[    0.642674] kernel: scsi host0: storvsc_host_t
[    0.643803] kernel: hv_utils: TimeSync IC version 4.0
[    0.644230] kernel: hv_utils: Shutdown IC version 3.0
[    0.645014] kernel: hv_utils: VSS IC version 5.0
[    0.645459] kernel: scsi 0:0:0:0: Direct-Access     Msft     Virtual Disk     1.0  PQ: 0 ANSI: 5
[    0.647405] kernel: hv_vmbus: registering driver hid_hyperv
[    0.648459] kernel: scsi 0:0:0:1: CD-ROM            Msft     Virtual DVD-ROM  1.0  PQ: 0 ANSI: 0
[    0.649280] kernel: input: Microsoft Vmbus HID-compliant Mouse as /devices/0006:045E:0621.0001/input/input1
[    0.650057] kernel: hid 0006:045E:0621.0001: input: VIRTUAL HID v0.01 Mouse [Microsoft Vmbus HID-compliant Mouse] on 
[    0.663459] kernel: sd 0:0:0:0: Attached scsi generic sg0 type 0
[    0.665559] kernel: sr 0:0:0:1: [sr0] scsi-1 drive
[    0.666081] kernel: cdrom: Uniform CD-ROM driver Revision: 3.20
[    0.668698] kernel: sd 0:0:0:0: [sda] 41943040 512-byte logical blocks: (21.5 GB/20.0 GiB)
[    0.669217] kernel: sd 0:0:0:0: [sda] 4096-byte physical blocks
[    0.670091] kernel: sd 0:0:0:0: [sda] Write Protect is off
[    0.670608] kernel: sd 0:0:0:0: [sda] Mode Sense: 0f 00 00 00
[    0.670711] kernel: sd 0:0:0:0: [sda] Write cache: enabled, read cache: enabled, doesn't support DPO or FUA
[    0.672878] kernel: sr 0:0:0:1: Attached scsi CD-ROM sr0
[    0.673028] kernel: sr 0:0:0:1: Attached scsi generic sg1 type 5
[    0.675830] kernel:  sda: sda1 sda2 sda3
[    0.685204] kernel: sd 0:0:0:0: [sda] Attached SCSI disk
[    1.940610] kernel: raid6: avx2x4   gen() 30187 MB/s
[    1.988613] kernel: raid6: avx2x4   xor() 19518 MB/s
[    2.036615] kernel: raid6: avx2x2   gen() 26396 MB/s
[    2.084613] kernel: raid6: avx2x2   xor() 16298 MB/s
[    2.132614] kernel: raid6: avx2x1   gen() 23098 MB/s
[    2.180613] kernel: raid6: avx2x1   xor() 15806 MB/s
[    2.228609] kernel: raid6: sse2x4   gen() 18100 MB/s
[    2.276608] kernel: raid6: sse2x4   xor() 11576 MB/s
[    2.324610] kernel: raid6: sse2x2   gen() 14928 MB/s
[    2.348056] kernel: hv_utils: Heartbeat IC version 3.0
[    2.372611] kernel: raid6: sse2x2   xor()  9867 MB/s
[    2.420610] kernel: raid6: sse2x1   gen() 12978 MB/s
[    2.468611] kernel: raid6: sse2x1   xor()  9058 MB/s
[    2.469066] kernel: raid6: using algorithm avx2x4 gen() 30187 MB/s
[    2.469504] kernel: raid6: .... xor() 19518 MB/s, rmw enabled
[    2.469941] kernel: raid6: using avx2x2 recovery algorithm
[    2.471553] kernel: xor: automatically using best checksumming function   avx       
[    2.473153] kernel: async_tx: api initialized (async)
[    2.542435] kernel: Btrfs loaded, crc32c=crc32c-intel
[    2.611237] kernel: EXT4-fs (dm-0): mounted filesystem with ordered data mode. Opts: (null)
[    2.807644] systemd[1]: Inserted module 'autofs4'
[    2.837869] systemd[1]: systemd 245.4-4ubuntu3.24 running in system mode. (+PAM +AUDIT +SELINUX +IMA +APPARMOR +SMACK +SYSVINIT +UTMP +LIBCRYPTSETUP +GCRYPT +GNUTLS +ACL +XZ +LZ4 +SECCOMP +BLKID +ELFUTILS +KMOD +IDN2 -IDN +PCRE2 default-hierarchy=hybrid)
[    2.839456] systemd[1]: Detected virtualization microsoft.
[    2.839977] systemd[1]: Detected architecture x86-64.
[    2.845529] systemd[1]: Set hostname to <wputd>.
[    3.019606] systemd[1]: Configuration file /run/systemd/system/netplan-ovs-cleanup.service is marked world-inaccessible. This has no effect as configuration data is accessible via APIs without restrictions. Proceeding anyway.
[    3.035672] systemd[1]: /lib/systemd/system/snapd.service:23: Unknown key name 'RestartMode' in section 'Service', ignoring.
[    3.050083] systemd[1]: /lib/systemd/system/cloud-init.service:20: Unknown key name 'ConditionEnvironment' in section 'Unit', ignoring.
[    3.057262] systemd[1]: /lib/systemd/system/cloud-init-hotplugd.socket:11: Unknown key name 'ConditionEnvironment' in section 'Unit', ignoring.
[    3.094648] systemd[1]: Created slice system-modprobe.slice.
[    3.097546] systemd[1]: Created slice system-systemd\x2dfsck.slice.
[    3.099751] systemd[1]: Created slice User and Session Slice.
[    3.101083] systemd[1]: Started Forward Password Requests to Wall Directory Watch.
[    3.102566] systemd[1]: Set up automount Arbitrary Executable File Formats File System Automount Point.
[    3.103970] systemd[1]: Reached target User and Group Name Lookups.
[    3.105391] systemd[1]: Reached target Slices.
[    3.106789] systemd[1]: Reached target Mounting snaps.
[    3.108238] systemd[1]: Listening on Device-mapper event daemon FIFOs.
[    3.109753] systemd[1]: Listening on LVM2 poll daemon socket.
[    3.111258] systemd[1]: Listening on multipathd control socket.
[    3.113495] systemd[1]: Listening on Syslog Socket.
[    3.115086] systemd[1]: Listening on fsck to fsckd communication Socket.
[    3.116560] systemd[1]: Listening on initctl Compatibility Named Pipe.
[    3.118085] systemd[1]: Listening on Journal Audit Socket.
[    3.119528] systemd[1]: Listening on Journal Socket (/dev/log).
[    3.121011] systemd[1]: Listening on Journal Socket.
[    3.122449] systemd[1]: Listening on Network Service Netlink Socket.
[    3.123890] systemd[1]: Listening on udev Control Socket.
[    3.125373] systemd[1]: Listening on udev Kernel Socket.
[    3.128006] systemd[1]: Mounting Huge Pages File System...
[    3.130597] systemd[1]: Mounting POSIX Message Queue File System...
[    3.135871] systemd[1]: Mounting Kernel Debug File System...
[    3.140215] systemd[1]: Mounting Kernel Trace File System...
[    3.146437] systemd[1]: Starting Journal Service...
[    3.154878] systemd[1]: Starting Set the console keyboard layout...
[    3.162003] systemd[1]: Starting Create list of static device nodes for the current kernel...
[    3.171790] systemd[1]: Starting Monitoring of LVM2 mirrors, snapshots etc. using dmeventd or progress polling...
[    3.189099] systemd[1]: Starting Load Kernel Module chromeos_pstore...
[    3.199651] systemd[1]: Starting Load Kernel Module drm...
[    3.207211] systemd[1]: Starting Load Kernel Module efi_pstore...
[    3.213720] systemd[1]: Starting Load Kernel Module pstore_blk...
[    3.220316] systemd[1]: Starting Load Kernel Module pstore_zone...
[    3.225517] systemd[1]: Starting Load Kernel Module ramoops...
[    3.229129] systemd[1]: Condition check resulted in OpenVSwitch configuration for cleanup being skipped.
[    3.233215] systemd[1]: Condition check resulted in Set Up Additional Binary Formats being skipped.
[    3.233817] systemd[1]: Condition check resulted in File System Check on Root Device being skipped.
[    3.240571] systemd[1]: Starting Load Kernel Modules...
[    3.249525] systemd[1]: Starting Remount Root and Kernel File Systems...
[    3.256853] systemd[1]: Starting udev Coldplug all Devices...
[    3.263462] systemd[1]: Starting Uncomplicated firewall...
[    3.266642] systemd[1]: Mounted Huge Pages File System.
[    3.268093] systemd[1]: Mounted POSIX Message Queue File System.
[    3.277304] systemd[1]: Mounted Kernel Debug File System.
[    3.278812] systemd[1]: Mounted Kernel Trace File System.
[    3.284867] systemd[1]: Finished Create list of static device nodes for the current kernel.
[    3.286489] systemd[1]: modprobe@chromeos_pstore.service: Succeeded.
[    3.291893] systemd[1]: Finished Load Kernel Module chromeos_pstore.
[    3.308935] kernel: EXT4-fs (dm-0): re-mounted. Opts: (null)
[    3.315459] systemd[1]: Finished Remount Root and Kernel File Systems.
[    3.320520] systemd[1]: Activating swap /swap.img...
[    3.331021] systemd[1]: Condition check resulted in Rebuild Hardware Database being skipped.
[    3.333553] systemd[1]: Starting Load/Save Random Seed...
[    3.342104] systemd[1]: Starting Create System Users...
[    3.348687] systemd[1]: Finished Monitoring of LVM2 mirrors, snapshots etc. using dmeventd or progress polling.
[    3.369668] kernel: pstore: Using crash dump compression: deflate
[    3.370335] kernel: pstore: Registered efi as persistent store backend
[    3.371059] kernel: bpfilter: Loaded bpfilter_umh pid 392
[    3.371926] unknown: Started bpfilter
[    3.381069] systemd[1]: Finished Load Kernel Modules.
[    3.389418] systemd[1]: modprobe@pstore_blk.service: Succeeded.
[    3.396287] systemd[1]: Finished Load Kernel Module pstore_blk.
[    3.405710] systemd[1]: modprobe@pstore_zone.service: Succeeded.
[    3.407914] systemd[1]: Finished Load Kernel Module pstore_zone.
[    3.413785] systemd[1]: modprobe@efi_pstore.service: Succeeded.
[    3.415809] systemd[1]: Finished Load Kernel Module efi_pstore.
[    3.422110] systemd[1]: Finished Load/Save Random Seed.
[    3.436735] systemd[1]: Mounting FUSE Control File System...
[    3.439444] systemd[1]: Mounting Kernel Configuration File System...
[    3.450591] systemd[1]: Starting Apply Kernel Variables...
[    3.459819] systemd[1]: modprobe@drm.service: Succeeded.
[    3.462235] systemd[1]: Finished Load Kernel Module drm.
[    3.463691] systemd[1]: Mounted FUSE Control File System.
[    3.469423] systemd[1]: modprobe@ramoops.service: Succeeded.
[    3.470839] systemd[1]: Finished Load Kernel Module ramoops.
[    3.472368] systemd[1]: Mounted Kernel Configuration File System.
[    3.479980] systemd[1]: Condition check resulted in Platform Persistent Storage Archival being skipped.
[    3.485791] systemd[1]: Finished Create System Users.
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In the contemporary landscape of business and productivity, the significance of task management and workflow automation has become increasingly paramount. With the advent of sophisticated AI and automation tools, the potential to streamline workflow processes, assign tasks efficiently, and closely monitor project progress has become more accessible than ever. These technologies not only optimize the allocation of resources but also facilitate seamless team collaboration, leading to a significant enhancement in overall productivity. Let’s delve deeper into the various aspects of task management and workflow automation, uncovering how these tools, underpinned by AI, have revolutionized the dynamics of modern work environments.<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/blockquote>[\/et_pb_text][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” header_2_font=”||||||||” header_2_text_color=”#4c4c4c” header_2_font_size=”22px” width=”123.8%” custom_margin=”26px|-70px|||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|0px|||false|false” custom_margin_last_edited=”on|desktop” custom_padding=”5px|0px|9px|||” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|desktop” hover_enabled=”0″ global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]

Evolution of Task Management and Workflow Automation<\/h3>[\/et_pb_text][et_pb_divider divider_weight=”2px” _builder_version=”4.18.0″ max_width=”60px” module_alignment=”left” height=”2px” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_divider][et_pb_text _builder_version=”4.18.0″ text_font=”Poppins|300|||||||” text_text_color=”#0a0a0a” text_letter_spacing=”1px” text_line_height=”2em” max_width_tablet=”” max_width_phone=”” max_width_last_edited=”on|phone” min_height=”124px” custom_margin=”|-150px|6px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|-52px||0px|false|false” custom_margin_last_edited=”on|phone” custom_padding=”|0px|0px||false|false” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|phone” hover_enabled=”0″ inline_fonts=”Poppins,Alata,Aclonica” global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]
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Task management and workflow automation have evolved significantly over the past decade, primarily driven by the rapid advancement of artificial intelligence and automation technologies. Initially, task management relied heavily on manual planning, execution, and monitoring, often resulting in inefficiencies and errors due to the limitations of human capacity. However, with the integration of AI, businesses have been able to automate repetitive tasks, streamline complex processes, and ensure a more systematic and error-free approach to managing tasks and workflows.<\/p>\n
The emergence of intelligent algorithms and machine learning models has revolutionized the concept of task management and workflow automation, enabling businesses to optimize their operations, increase productivity, and enhance overall organizational efficiency. These AI-driven tools can now analyze historical data, predict future trends, and provide valuable insights to facilitate informed decision-making, ultimately leading to the seamless execution of tasks and the successful completion of projects.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>[\/et_pb_text][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” header_2_font=”||||||||” header_2_text_color=”#4c4c4c” header_2_font_size=”22px” width=”123.8%” custom_margin=”26px|-70px|||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|0px|||false|false” custom_margin_last_edited=”on|desktop” custom_padding=”5px|0px|9px|||” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|desktop” hover_enabled=”0″ global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]
Streamlining Workflow Processes<\/h3>[\/et_pb_text][et_pb_divider divider_weight=”2px” _builder_version=”4.18.0″ max_width=”60px” module_alignment=”left” height=”2px” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_divider][et_pb_text _builder_version=”4.18.0″ text_font=”Poppins|300|||||||” text_text_color=”#0a0a0a” text_letter_spacing=”1px” text_line_height=”2em” max_width_tablet=”” max_width_phone=”” max_width_last_edited=”on|phone” min_height=”141px” custom_margin=”|-150px|1px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|-52px||0px|false|false” custom_margin_last_edited=”on|phone” custom_padding=”|0px|17px||false|false” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|phone” hover_enabled=”0″ inline_fonts=”Poppins,Alata,Aclonica” global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]
One of the fundamental advantages of AI and automation in the context of task management and workflow is their ability to streamline complex processes. By automating routine tasks, businesses can significantly reduce manual effort and free up valuable resources to focus on more critical aspects of their operations. This streamlining of workflow processes not only minimizes the likelihood of errors but also accelerates the pace of task execution, thereby fostering a more agile and responsive work environment.<\/p>\n
Moreover, AI-powered workflow automation tools can map out intricate business processes, identify potential bottlenecks, and suggest optimized workflows to improve efficiency. By leveraging intelligent algorithms, businesses can customize workflows to align with their specific operational requirements, ensuring a seamless and well-coordinated progression of tasks from initiation to completion.<\/p>[\/et_pb_text][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” header_2_font=”||||||||” header_2_text_color=”#4c4c4c” header_2_font_size=”22px” width=”123.8%” custom_margin=”26px|-70px|3px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|0px|||false|false” custom_margin_last_edited=”on|desktop” custom_padding=”5px|0px|9px|||” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|desktop” hover_enabled=”0″ global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]
Efficient Task Assignment and Resource Allocation<\/h3>[\/et_pb_text][et_pb_divider divider_weight=”2px” _builder_version=”4.18.0″ max_width=”60px” module_alignment=”left” height=”2px” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_divider][et_pb_text _builder_version=”4.18.0″ text_font=”Poppins|300|||||||” text_text_color=”#0a0a0a” text_letter_spacing=”1px” text_line_height=”2em” max_width_tablet=”” max_width_phone=”” max_width_last_edited=”on|phone” min_height=”143px” custom_margin=”|-150px|21px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|-52px||0px|false|false” custom_margin_last_edited=”on|phone” custom_padding=”|0px|0px||false|false” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|phone” hover_enabled=”0″ inline_fonts=”Poppins,Alata,Aclonica” global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]
The allocation of tasks and resources within an organization is a critical aspect of effective project management. AI and automation tools have significantly simplified this process by enabling businesses to assign tasks based on individual skill sets, availability, and workload capacity. These tools can analyze employee performance data, identify the most suitable candidates for specific tasks, and allocate resources accordingly, ensuring a more balanced distribution of work and responsibilities.<\/p>\n
Furthermore, AI-driven task management systems can dynamically adjust task priorities based on evolving project requirements, resource availability, and deadlines. This adaptive approach not only optimizes resource utilization but also ensures that tasks are assigned to the most competent team members, enhancing the overall quality and timeliness of project deliverables.<\/p>[\/et_pb_text][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” header_2_font=”||||||||” header_2_text_color=”#4c4c4c” header_2_font_size=”22px” custom_margin=”26px|-122px|||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|0px|||false|false” custom_margin_last_edited=”on|desktop” custom_padding=”5px|0px|9px|||” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|desktop” hover_enabled=”0″ global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]
Real-time Monitoring and Progress Tracking<\/h3>[\/et_pb_text][et_pb_divider divider_weight=”2px” _builder_version=”4.18.0″ max_width=”60px” module_alignment=”left” height=”2px” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_divider][et_pb_text _builder_version=”4.18.0″ text_font=”Poppins|300|||||||” text_text_color=”#0a0a0a” text_letter_spacing=”1px” text_line_height=”2em” max_width_tablet=”” max_width_phone=”” max_width_last_edited=”on|phone” min_height=”40px” custom_margin=”|-150px|-17px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|-52px||0px|false|false” custom_margin_last_edited=”on|phone” custom_padding=”|0px|27px||false|false” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|phone” hover_enabled=”0″ inline_fonts=”Poppins,Alata,Aclonica” global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]
One of the most significant advantages of AI-powered task management and workflow automation tools is their capability to provide real-time monitoring and progress tracking. By integrating sophisticated monitoring mechanisms, businesses can closely track the status of ongoing tasks, identify potential roadblocks, and take proactive measures to ensure timely project completion.<\/p>\n
These tools can generate comprehensive progress reports, highlighting key performance indicators, milestone achievements, and potential deviations from the predefined project timeline. Such real-time insights enable project managers and stakeholders to make data-driven decisions, implement necessary adjustments, and proactively address any issues that may impede project progress, ultimately fostering a culture of accountability and transparency within the organization.<\/p>[\/et_pb_text][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” header_2_font=”||||||||” header_2_text_color=”#4c4c4c” header_2_font_size=”22px” min_height=”37px” custom_margin=”26px|-122px|21px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|0px|||false|false” custom_margin_last_edited=”on|desktop” custom_padding=”5px|0px|9px|||” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|desktop” hover_enabled=”0″ global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]
Enhanced Collaboration and Communication<\/h3>[\/et_pb_text][et_pb_divider divider_weight=”2px” _builder_version=”4.18.0″ max_width=”60px” module_alignment=”left” height=”2px” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_divider][et_pb_text _builder_version=”4.18.0″ text_font=”Poppins|300|||||||” text_text_color=”#0a0a0a” text_letter_spacing=”1px” text_line_height=”2em” max_width_tablet=”” max_width_phone=”” max_width_last_edited=”on|phone” min_height=”123px” custom_margin=”|-150px|39px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|-52px||0px|false|false” custom_margin_last_edited=”on|phone” custom_padding=”|0px|0px||false|false” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|phone” hover_enabled=”0″ inline_fonts=”Poppins,Alata,Aclonica” global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]
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Effective collaboration and communication are integral to the success of any project or task within an organization. AI and automation tools have significantly transformed the dynamics of team collaboration by providing a centralized platform for seamless communication, file sharing, and collaborative decision-making. These tools facilitate real-time interaction among team members, allowing for instant feedback, updates, and the exchange of critical information, regardless of geographical locations or time zones.<\/p>\n
Moreover, AI-powered collaboration platforms can integrate various communication channels, such as instant messaging, video conferencing, and virtual workspaces, to foster a more cohesive and interconnected work environment. By promoting open dialogue and knowledge sharing, these tools not only strengthen team dynamics but also encourage a culture of innovation and continuous improvement, leading to the development of more robust and impactful solutions.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>[\/et_pb_text][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” header_2_font=”||||||||” header_2_text_color=”#4c4c4c” header_2_font_size=”22px” min_height=”37px” custom_margin=”26px|-122px|21px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|0px|||false|false” custom_margin_last_edited=”on|desktop” custom_padding=”5px|0px|9px|||” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|desktop” hover_enabled=”0″ global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]
Integration of AI-driven Analytics<\/h3>[\/et_pb_text][et_pb_divider divider_weight=”2px” _builder_version=”4.18.0″ max_width=”60px” module_alignment=”left” height=”2px” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_divider][et_pb_text _builder_version=”4.18.0″ text_font=”Poppins|300|||||||” text_text_color=”#0a0a0a” text_letter_spacing=”1px” text_line_height=”2em” max_width_tablet=”” max_width_phone=”” max_width_last_edited=”on|phone” min_height=”118px” custom_margin=”|-150px|39px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|-52px||0px|false|false” custom_margin_last_edited=”on|phone” custom_padding=”|0px|0px||false|false” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|phone” hover_enabled=”0″ inline_fonts=”Poppins,Alata,Aclonica” global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]
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The integration of AI-driven analytics within task management and workflow automation systems has unlocked a plethora of opportunities for businesses to gain valuable insights into their operational processes and performance metrics. By leveraging advanced data analytics tools, businesses can analyze historical task data, identify patterns, and predict future trends, enabling them to make informed decisions and implement proactive strategies to improve overall efficiency.<\/p>\n
These analytics-driven insights can help businesses identify underperforming areas, optimize task allocation, and refine workflow processes to enhance productivity and minimize operational costs. Additionally, AI-powered analytics can facilitate the identification of emerging market trends, customer preferences, and competitive landscapes, empowering businesses to stay ahead of the curve and adapt their strategies to meet evolving market demands effectively.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>[\/et_pb_text][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” header_2_font=”||||||||” header_2_text_color=”#4c4c4c” header_2_font_size=”22px” min_height=”37px” custom_margin=”26px|-122px|21px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|0px|||false|false” custom_margin_last_edited=”on|desktop” custom_padding=”5px|0px|9px|||” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|desktop” hover_enabled=”0″ global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]
Addressing Potential Challenges and Concerns<\/h3>[\/et_pb_text][et_pb_divider divider_weight=”2px” _builder_version=”4.18.0″ max_width=”60px” module_alignment=”left” height=”2px” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_divider][et_pb_text _builder_version=”4.18.0″ text_font=”Poppins|300|||||||” text_text_color=”#0a0a0a” text_letter_spacing=”1px” text_line_height=”2em” max_width_tablet=”” max_width_phone=”” max_width_last_edited=”on|phone” min_height=”114px” custom_margin=”|-150px|11px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|-52px||0px|false|false” custom_margin_last_edited=”on|phone” custom_padding=”|0px|0px||false|false” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|phone” hover_enabled=”0″ inline_fonts=”Poppins,Alata,Aclonica” global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]
Despite the numerous benefits offered by AI and automation in the realm of task management and workflow optimization, there are certain challenges and concerns that businesses need to address to ensure successful implementation and utilization of these technologies. One of the primary concerns is the potential resistance to change among employees, as the introduction of AI and automation may lead to apprehensions about job security and the need for upskilling or reskilling.<\/p>\n
To overcome this challenge, businesses must prioritize transparent communication and actively involve employees in the implementation process, emphasizing the positive impact of AI and automation on their roles and responsibilities. Providing comprehensive training programs and continuous support can help employees adapt to the new technologies more seamlessly and foster a culture of continuous learning and professional development.<\/p>\n
Furthermore, ensuring data security and privacy is crucial when integrating AI and automation tools into task management and workflow systems. Businesses must implement robust security protocols, data encryption measures, and access controls to safeguard sensitive information and prevent unauthorized access or data breaches. Proactive monitoring and regular security audits can help identify potential vulnerabilities and ensure compliance with data protection regulations and industry standards.<\/p>[\/et_pb_text][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” header_2_font=”||||||||” header_2_text_color=”#4c4c4c” header_2_font_size=”22px” min_height=”37px” custom_margin=”26px|-122px|21px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|0px|||false|false” custom_margin_last_edited=”on|desktop” custom_padding=”5px|0px|9px|||” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|desktop” hover_enabled=”0″ global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]
Future Outlook and Potential Developments<\/h3>[\/et_pb_text][et_pb_divider divider_weight=”2px” _builder_version=”4.18.0″ max_width=”60px” module_alignment=”left” height=”2px” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_divider][et_pb_text _builder_version=”4.18.0″ text_font=”Poppins|300|||||||” text_text_color=”#0a0a0a” text_letter_spacing=”1px” text_line_height=”2em” max_width_tablet=”” max_width_phone=”” max_width_last_edited=”on|phone” min_height=”152px” custom_margin=”|-150px|39px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|-52px||0px|false|false” custom_margin_last_edited=”on|phone” custom_padding=”|0px|0px||false|false” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|phone” hover_enabled=”0″ inline_fonts=”Poppins,Alata,Aclonica” global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]
Looking ahead, the future of task management and workflow automation appears promising, with ongoing advancements in AI and automation technologies poised to revolutionize the way businesses operate and manage their tasks and projects. The integration of advanced AI algorithms, natural language processing, and predictive analytics is expected to further enhance the capabilities of task management systems, enabling businesses to achieve higher levels of efficiency, accuracy, and adaptability.<\/p>\n
Additionally, the integration of AI with emerging technologies such as the Internet of Things (IoT) and blockchain is likely to redefine the landscape of task management and workflow automation, creating more interconnected and secure ecosystems for businesses to operate in. The convergence of these technologies will enable real-time data synchronization, secure data sharing, and decentralized task management, fostering a more transparent and collaborative approach to business operations.<\/p>\n
Moreover, the proliferation of AI-driven virtual assistants and intelligent chatbots is expected to transform the dynamics of task management by providing personalized task recommendations, scheduling assistance, and proactive task reminders. These virtual assistants will not only streamline task execution but also serve as reliable knowledge repositories, providing instant access to relevant information and resources, thereby enhancing overall productivity and efficiency.<\/p>[\/et_pb_text][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” header_2_font=”||||||||” header_2_text_color=”#4c4c4c” header_2_font_size=”22px” min_height=”37px” custom_margin=”26px|-122px|21px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|0px|||false|false” custom_margin_last_edited=”on|desktop” custom_padding=”5px|0px|9px|||” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|desktop” hover_enabled=”0″ global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]
Final Thoughts<\/h3>[\/et_pb_text][et_pb_divider divider_weight=”2px” _builder_version=”4.18.0″ max_width=”60px” module_alignment=”left” height=”2px” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_divider][et_pb_text _builder_version=”4.18.0″ text_font=”Poppins|300|||||||” text_text_color=”#0a0a0a” text_letter_spacing=”1px” text_line_height=”2em” max_width_tablet=”” max_width_phone=”” max_width_last_edited=”on|phone” min_height=”152px” custom_margin=”|-150px|39px||false|false” custom_margin_tablet=”|0px|||false|false” custom_margin_phone=”|-52px||0px|false|false” custom_margin_last_edited=”on|phone” custom_padding=”|0px|0px||false|false” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|phone” hover_enabled=”0″ inline_fonts=”Poppins,Alata,Aclonica” global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]
In conclusion, the integration of AI and automation tools in the domain of task management and workflow optimization has redefined the way businesses approach operational efficiency and project execution. By leveraging the capabilities of AI-driven algorithms, businesses can streamline complex workflow processes, allocate tasks effectively, and closely monitor project progress in real time. This not only fosters better team collaboration and communication but also facilitates data-driven decision-making and strategic planning, leading to improved overall productivity and organizational performance.<\/p>\n
However, the successful implementation of AI and automation in task management and workflow optimization requires a comprehensive understanding of the specific business requirements, careful planning, and a proactive approach to addressing potential challenges. By prioritizing employee engagement, data security, and ongoing technological advancements, businesses can harness the full potential of AI and automation to drive innovation, achieve operational excellence, and stay ahead in today’s competitive business landscape.<\/p>[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.18.0″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||” theme_builder_area=”post_content”][\/et_pb_column][\/et_pb_row][\/et_pb_section]\n","protected":false},"excerpt":{"rendered":"
With the integration of AI, businesses have been able to automate repetitive tasks, streamline complex processes, and ensure a more systematic and error-free approach to managing tasks and workflows<\/p>\n","protected":false},"author":3,"featured_media":7829,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[2316,567,392,16,15,243],"tags":[],"class_list":["post-7827","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-agents","category-artificial-intelligence","category-machine-learning-ai","category-services","category-technology","category-workflow-management-software"],"yoast_head":"AI Evolution of Task Management and Workflow Automation<\/title>\n<meta name=\"description\" content=\"With AI, businesses have been able to ensure a more systematic and error-free approach to managing tasks and workflows\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/utdes.com\/ai-evolution-of-task-management-and-workflow-automation\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI Evolution of Task Management and Workflow Automation\" \/>\n<meta property=\"og:description\" content=\"With AI, businesses have been able to ensure a more systematic and error-free approach to managing tasks and workflows\" \/>\n<meta property=\"og:url\" content=\"https:\/\/utdes.com\/ai-evolution-of-task-management-and-workflow-automation\/\" \/>\n<meta property=\"og:site_name\" content=\"Michigan AI Application Development - 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