🤝 IBM and AWS Team Up to Boost Generative AI
PLUS: IBM's latest innovation combines energy-saving tricks to run neural networks efficiently, new AI tools, and more.
Good morning! Today we're covering:
AI Integration: IBM Consulting and AWS expand their collaborative partnership on generative AI.
Software Development: A survey reveals that 31% of DevOps leads have already implemented generative AI in their software development processes.
PLUS: IBM's latest innovation combines energy-saving tricks to run neural networks efficiently, new AI tools, and more!
Let's get into it!
News & Insights
🤝 AWS, IBM Consulting Expand Generative AI Service Partnership
IBM Consulting and AWS up their collaborative game in the world of generative AI. Their recent announcement on Oct. 18 has been a buzz - a significant extension to their services for contact centers and supply chains. The aim is clear: to help more clients extract value from generative AI. But here's the kicker - IBM Consulting is set to train 10,000 consultants on AWS generative AI products.
In addition, IBM Consulting also intends to host the watsonx.data storage solution as software-as-a-service on AWS. This is not just another partnership; it's a strategic move aligning operational efficiency with generative AI. Could this be the dawn of a new era where AI integration becomes the norm rather than the exception in business collaborations? techrepublic
Why does this matter?
Imagine the ripple effect of this partnership when those 10,000 consultants disperse their knowledge of generative AI throughout various industries. This could lead not only to more efficient businesses but also to the evolution of AI education, closing the gap between AI specialists and other professionals.
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👨💻 AI Brings A Lot More To The DevOps Experience Than Meets The Eye
Nearly a third (31%) of DevOps leads surveyed have already implemented generative AI into their software development processes, according to Sonatype. Existing practices are bolstered, granting IT teams enhanced access to testing and production environments for business data. "In an AI-driven environment, critical thinking, teamwork, design, visual information display, and independent thinking are required," says a professor at Touro University.
AI's influence seeps into communication too. Automated responses to routine queries and issue explication based on existing knowledge reduce manual problem-solving burden. This fosters a conducive environment for strategic discussions between developers, operations, business teams, and executives, says the co-founder and CTO at Cycode. Even more, AI encourages creativity, helping users to challenge conventional wisdom and craft novel ideas. zdnet
Why does this matter?
Consider the potential shift in the role of developers. With AI bots aiding in code reviews or automatic bug detection and resolution, the focus could shift from manual error identification and rectification to more creative and strategic tasks. This could redefine the role of developers, transforming them from coders to creative problem solvers.
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What Else Is Happening
🗞️ More News
Debate Rises Over Trust in DeepMind's Commitment to Ethical Artificial Intelligence This Week.
Gartner IT Symposium discusses the significant impact of generative AI on the evolution of human-machine relationships.
Dropbox introduces new AI tools designed for knowledge workers.
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🔭 Research Review
IBM Has Made A New, Highly Efficient AI Processor
IBM's latest innovation, the NorthPole processor, amalgamates various energy efficiency approaches, resulting in a chip that performs inference-based neural network executions with unparalleled power efficiency. This chip, adept at tasks such as image classification or audio transcription, boasts up to 35 times more efficiency than a GPU.
This stripped-down approach to running calculations, a trait of the NorthPole processor, is a testament to the potential of minimalistic design in AI hardware. As we continue to grapple with the energy demands of AI systems, IBM's innovation serves as a promising beacon. towardsdatascience
Written by Isaac R. Ward, Casey Clifton, and Alex Brogan.
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