In this contributed article, Keri Olson, IBM’s Vice President of Product Management, AI for Code, discusses how AI code assistants can help accelerate the software development lifecycle (SDLC), enhance productivity, and improve code quality through generative AI.
Unlocking the Power of Generative AI to Support the Software Development Lifecycle
November 27, 2024 by
Embrace Innovation While Reducing Risk: The Three Steps to AI-grade Data at Scale
November 26, 2024 by
In this contributed article, Kunju Kashalikar, Senior Director of Product Management at Pentaho, discusses how to dream big without the risk: three steps to AI-grade data. The industry adage of ‘garbage-in-garbage-out’ has never been more applicable than now. Clean, accurate data is the key to winning the AI race – but leaving the starting blocks is the challenge for most. Winning the race means working with data that’s match fit for AI.
Kinesis Network Launches Serverless Feature to Solve Critical Computing Power Shortage for AI-Infrastructure
November 26, 2024 by
Kinesis Network, a global compute optimization platform, announced a new serverless feature enabling enterprises to run workloads across a dynamic, multi-cloud environment.
Podcast: The Batch 11/20/2024 Discussion
November 25, 2024 by
Hello friends! We hope you enjoy this new podcast featuring Andrew Ng’s “The Batch” newsletter from November 11, 2024 featuring a rousing discussion of the emerging trend of writing text specifically for large language models (LLMs).
New Release of Graphwise GraphDB Delivers Multi-Method Graph RAG to Accelerate R&D for GenAI Applications, Increase Precision, and Enable Self-Service Data
November 25, 2024 by
Graphwise, a leading Graph AI provider, announced the immediate availability of GraphDB 10.8. This release includes the next-generation Talk-to-Your-Graph capability that integrates LLMs with vector-based retrieval of relevant enterprise information and precise querying of knowledge graphs.
Pure Storage Introduces New GenAI Pod to Accelerate AI Innovation
November 18, 2024 by
Pure Storage® (NYSE: PSTG), the IT pioneer that delivers the world’s most advanced data storage technology and services, today announced the expansion of its AI solutions with the new Pure Storage GenAI Pod, a full-stack solution providing turnkey designs built on the Pure Storage platform.
Why Mathematics is Essential for Data Science and Machine Learning
November 12, 2024 by
In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, explores why mathematics is so integral to data science and machine learning, with a special focus on the areas most crucial for these disciplines, including the foundation needed to understand generative AI.
GenAI and the Role of GraphRAG in Expanding LLM Accuracy
November 7, 2024 by
In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, discusses RAG techniques, particularly those involving graph-based knowledge representation, can significantly enhance their performance. One such innovative solution is GraphRAG, which combines the power of knowledge graphs with LLMs to boost accuracy and contextual understanding.
At 2024 AI Hardware & Edge AI Summit: Gayathri Radhakrishnan, Partner – Investment Team, Hitachi Ventures
November 5, 2024 by
At the recent 2024 AI Hardware & Edge AI Summit in San Jose, Calif., I caught up with Gayathri Radhakrishnan, Partner – Investment Team with Hitachi Ventures, a venture firm that looks for the best solutions to address the world’s technical, social and environmental challenges The discussion starts with a brief tour of the company’s mission and market […]
Survey Finds Over Half of AI Startup Founders Are Using Four Or More Foundational Models
October 31, 2024 by
Costanoa Ventures, a boutique early-stage B2B venture capital firm, released findings from a survey of founders building in the AI space, “Building an AI-Native Startup,” offering a snapshot of the AI-native startup ecosystem. The survey includes insights into how founders building in AI approach hiring AI talent, the tools they use, and the challenges that keep them up at night.
