We’re excited to share that IBM has been named a Leader in the 2024 Gartner Magic Quadrant for Augmented Data Quality Solutions. Learn more here: https://ibm.co/48X66HL
IBM Data, AI & Automation
IT Services and IT Consulting
Armonk, New York 258,365 followers
Unlock the power of data to scale business #AI and intelligent #automation.
About us
Deliver greater IT and network efficiency with #data and AI-powered automation. Using AI, IBM solutions provide comprehensive visibility into IT and network environments, automate routine tasks, and help teams maintain peak performance and availability across distributed clouds and networks. IBM’s Data and AI solutions empower organizations to simplify data access to facilitate self-service data consumption, ensure governance, and build a foundation to implement trustworthy AI.
- Website
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https://ibm.biz/BdMwHk
External link for IBM Data, AI & Automation
- Industry
- IT Services and IT Consulting
- Company size
- 10,001+ employees
- Headquarters
- Armonk, New York
Updates
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Meet with IBM supply chain specialist at this year's Gartner Supply Chain Symposium. Connect and learn how #AI-driven technology and expert consulting can work together to help build a sustainable, resilient supply chain: https://ibm.biz/BdmYxq
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Don’t get caught with your cloud down. ✅ Unlock rapid issue detection and remediation ✅ Real-time monitoring ✅ AI-powered insights Experience IBM Instana’s real-time observability and learn how to unlock the benefits that come with it: https://ibm.co/4b4mwj2
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🦾 - Built on organizational data and trained on user actions over time, IBM #watsonx Orchestrate helps boost productivity by automating time-consuming, repetitive tasks across #sales, finance, procurement and human resources teams. 📚 - Save and share our solution guide for demonstrative case studies: https://ibm.biz/BdmsAU --- #IBM #AI #MachineLearning #NLP #RPA #HR #TalentAcquisition
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IBM Data, AI & Automation reposted this
AI Ethics, Data Privacy & Cybersecurity | Chief Privacy & Trust Officer | General Counsel | Board Advisor & Secretary | Identifying & mitigating reputational, legal & financial risk for multinational technology companies
In a new #EarthWeek blog by our AI Ethics Board, we explore an under-discussed aspect of the recent boom in #AI – the impact it’s having on the environment – and how IBM is committed to driving sustainable innovation for ourselves and for our clients. With new Large Language Models expected to consume as much as 15 times more energy than simpler AI models from a decade ago, the ever-increasing rate of development and usage of #AI poses pressing sustainability challenges. However, as stated by my colleague and board member, Christina Shim, we can counteract this by “making more sustainable choices about how models are built, trained, and used, where processing occurs, what infrastructure is used, and how open and collaborative we are along the way.” This is why we have prioritized sustainability throughout the development of our technologies., More than 70% of our total energy consumption came from renewable energy sources in 2023. Additionally, we have worked to develop energy-efficient AI models like our Granite foundation models, which are smaller and more efficient than larger models, and therefore have a lesser impact on the environment. As we look forward, we hope that companies worldwide will commit to embedding sustainability practices as part of their AI strategies. To learn more about how companies can work to reduce the impact of AI on the planet, read the full blog here: https://lnkd.in/ebiqY84j
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IBM Data, AI & Automation reposted this
In celebration of #EarthDay 2024, IBM is proud to reaffirm its commitment to a shared, sustainable future – one made possible thanks to new, #AI-driven approaches to environmental data management, supply chain resiliency and intelligent asset management. Bookmark and explore IBM’s three-pronged approach #sustainability software here: https://ibm.biz/BdmsC6
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The Analytics Content Hub within IBM Cognos Analytics brings all your business #analytics capabilities into one place, enabling users to access, discover and personalize content to increase productivity and ensure more consistency. See how to do a catalog search within Analytics Content Hub in the demo below 👇
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IBM Data, AI & Automation reposted this
Complete the new Call for Code AI Knowledge Challenge What is generative AI and how can it be applied? This free training course is now available to Call for Code participants. In less than 2 hours, get hands-on experience to help you understand generative AI using IBM watsonx. If you finish the course by May 1, you’ll earn a tile to share on your social media to tell others what you’ve learned. Win $1,000 USD! Additional monthly #AI courses will be announced and those who complete them all by October 17 will qualify to enter a final Knowledge Challenge for an opportunity to win $1,000 USD, so stay tuned for more details. Click the link to sign up for the Global Challenge to access this course as well as expert mentors and additional generative AI training: https://ibm.co/3UohDej --- #CallforCode #techforgood
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IBM Data, AI & Automation reposted this
As founding members of the AI Alliance, Meta and IBM are focused on advancing open innovation for #AI. Now, we’re taking the next step with the release of Llama 3 models and making them available on #watsonx: https://ibm.co/3Q9gbuC AI at Meta’s new LLM features pretrained and instruction fine-tuned language models with 8B and 70B parameter counts that can support a broad range of use cases: 💡 Summarization ✨ Classification ⚡️ Information extraction 💬 Content grounded question and answering Together with Meta, we'll continue to collaborate to advance open and responsible AI innovation.
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The problem ➡️ The IBM product management team needed help prioritizing the 30k+ product enhancement requests they receive every year. The solution ➡️ Data scientists from the IBM Chief Analytics office, Yingsi Jian, Chloe Moon along with strategist Christopher Yu, used IBM watsonx․ai to create a new, generative #AI model designed to identify, evaluate and categorize product enhancement requests – helping to bridge the gap between product data and management expertise: https://ibm.biz/BdmsAh