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IBM Cloud Logs & AI Collaboration Highlights

Key Points

  • An IDC study shows 57% of large enterprises struggle with either excess or insufficient observability data, prompting the need for smarter collection tools.
  • IBM Cloud Logs, launching in the next few months, will use machine‑learning to filter noise, support cross‑cloud data aggregation, searchable dashboards, and seamless integration with existing management tools.
  • IBM’s partnership with Anaconda embeds enterprise‑grade, open‑source Python package management and security into Watsonx, enabling generative AI workloads while maintaining governed AI use.
  • The latest G2 Spring reports featured IBM solutions in over 12,200 unique reviews, earning more than 250 leader badges across multiple categories.

Full Transcript

# IBM Cloud Logs & AI Collaboration Highlights **Source:** [https://www.youtube.com/watch?v=D1efQLzyubY](https://www.youtube.com/watch?v=D1efQLzyubY) **Duration:** 00:04:00 ## Summary - An IDC study shows 57% of large enterprises struggle with either excess or insufficient observability data, prompting the need for smarter collection tools. - IBM Cloud Logs, launching in the next few months, will use machine‑learning to filter noise, support cross‑cloud data aggregation, searchable dashboards, and seamless integration with existing management tools. - IBM’s partnership with Anaconda embeds enterprise‑grade, open‑source Python package management and security into Watsonx, enabling generative AI workloads while maintaining governed AI use. - The latest G2 Spring reports featured IBM solutions in over 12,200 unique reviews, earning more than 250 leader badges across multiple categories. ## Sections - [00:00:00](https://www.youtube.com/watch?v=D1efQLzyubY&t=0s) **IBM Cloud Logs Upcoming Release** - The segment announces IBM Cloud Logs, a soon‑to‑be‑available, AI‑enhanced observability service that aggregates and analyzes data from IBM Cloud and external sources to cut noise, pinpoint issues, and integrate with existing toolchains to reduce application downtime. ## Full Transcript
0:00IBM Cloud logs a collaboration with IBM 0:03and anaconda and the G2 spring reports 0:06all on this episode of IBM Tech 0:13now as workloads continue to generate an 0:16expanding amount of observability data 0:18it's putting increased pressure on 0:20collection tools to process it all in 0:22fact a recent IDC study found that 57% 0:26of large Enterprises are either 0:27collecting too much or too little observ 0:30ability data it's a tricky balance 0:32luckily to help you address 0:33observability data challenges IBM Cloud 0:36will make its nextg Cloud logging 0:38solution IBM Cloud logs available in the 0:41coming months IBM Cloud logs is designed 0:44to help you take control of your 0:45observability data and expedite insights 0:48to reduce application downtime with IBM 0:51Cloud logs you'll be able to collect an 0:53aggregate data from both within and 0:56outside IBM Cloud it also processes 0:59incoming data and applies machine 1:01learning algorithms to help you cut 1:02through data noise and hone in on the 1:04root cause of the issue the next 1:07generation of logging on IBM Cloud 1:09allows you to search all of your 1:10retained data and is easily queried 1:12within the service it also offers tools 1:14to quickly assemble dashboards to better 1:16visualize your environments best of all 1:19IBM Cloud logs as a service is designed 1:21to integrate with the most common 1:23applications and system management tools 1:25to fit within your existing tool chains 1:28to learn more about IBM Cloud log and 1:30when it will be available for you check 1:32out the link in the description of this 1:34video next up the Advent of llms can 1:37democratize access to Ai and Advance 1:40Enterprise adoption of AI technology in 1:43this time of Discovery and 1:44experimentation the governed use of AI 1:46is more critical than ever that's why 1:49IBM and Anaconda are excited to provide 1:51an Enterprise grade generative AI 1:53solution natively built within IBM 1:56Watson x. Anaconda allows data 1:59scientists to use Python and open source 2:01to unleash Innovation with AI Watson x. 2:05a users can now access anaconda's 2:07natively built open source python 2:10repository and Anaconda distribution 2:12provides users with python open source 2:14package management Watson x.i can also 2:17integrate with Anaconda repository on 2:19premises for python security 2:22vulnerability management and license 2:24management python continues to be the 2:26leading language for data science and 2:28generative AI workloads in 2024 and 2:31Anaconda is the gateway to the open 2:32source python Community providing 2:34curated access to the packages powering 2:36Enterprise AI through this collaboration 2:40Watson x. brings generative AI models to 2:43clients and Anaconda brings Enterprise 2:45grade python to enhance Enterprise AI to 2:48learn more about this exciting 2:49collaboration hit the link below to wrap 2:53things up today the G2 spring reports 2:55were recently released and I'm thrilled 2:57to let you know that IBM offerings were 2:59featured in more than 12200 unique G2 3:01reports earning over 250 leader badges 3:05across various categories these 3:07accolades are given to offerings that 3:09receive positive reviews from verified 3:11users compared to competitive products 3:13in their respective categories ibant 3:15products and solutions ranked number one 3:17in 95 unique reports including IBM 3:20Watson X assistant in the bot platforms 3:22grid report an IBM app connect in the 3:25ESB grid report additionally IBM 3:28products and solutions ranked in the top 3:29three and another 249 unique reports for 3:33a full rundown of IBM in the G2 spring 3:35reports hit the link below thanks so 3:38much for joining me today for this 3:39episode of IBM Tech now if you're 3:40interested in learning more about the 3:42topics I've covered make sure you 3:43explore the links in the description of 3:44this video and again please don't forget 3:47to subscribe to our channel to stay up 3:48toate on what's going on in Tech 3:52[Music] 3:57now