2024 Trends in Data Technologies: Foundation Models and Confidential Computing

In this contributed article, editorial consultant Jelani Harper suggests that perhaps the single greatest force shaping—if not reshaping—the contemporary data sphere is the pervasive presence of foundation models. Manifest most acutely in deployments of generative Artificial Intelligence, these models are impacting everything from external customer interactions to internal employee interfaces with data systems.  

Generative AI Report – 1/11/2024

Welcome to the Generative AI Report round-up feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. We’ve been receiving so many cool news items relating to applications and deployments centered on large language models (LLMs), we thought it would be a timely service for readers to start a new channel along these lines. The combination of a LLM, fine tuned on proprietary data equals an AI application, and this is what these innovative companies are creating. The field of AI is accelerating at such fast rate, we want to help our loyal global audience keep pace.

Snowflake Big Data Industry Predictions for 2024

Our friends over at Snowflake have prepared a special set of compelling technology predictions for the year ahead. From the company’s point of view 2024 should be quite a year! Straight from the executive suite, you’ll learn about what’s predicted to happen with AI, GenAI, LLMs, BI, data science, data engineering, and much more. Enjoy these special perspectives from one of our industry’s best known movers and shakers.

insideBIGDATA AI News Briefs BULLETIN BOARD

Welcome insideBIGDATA AI News Briefs BULLETIN BOARD, our timely new feature bringing you the latest industry insights and perspectives surrounding the field of AI including deep learning, large language models, generative AI, and transformers. We’re working tirelessly to dig up the most timely and curious tidbits underlying the day’s most popular technologies. We know this field is advancing rapidly and we want to bring you a regular resource to keep you informed and state-of-the-art. The news bites are constantly being added in reverse date order (most recent on top). With our bulletin board you can check back often to see what’s happening in our rapidly accelerating industry.

The Key to Winning the Generative AI Race: Solve Real Problems

In this contributed article, Syed Hoda, Digital Innovation leader at AWS, discusses how businesses can generate real value from AI and generative AI. Syed provides practical insights and advice for organizations, especially small businesses, looking to cut through the fanfare and find real ways they can apply these new technologies to their businesses.

OpenAI’s Big Announcement: Why Enterprises Should Pay Attention

In this contributed article, Chandini Jain, founder and CEO of Auquan, discusses how RAG AI represents a major breakthrough for making generative AI viable for knowledge-intensive tasks in the enterprise. It combines the power of retrieval-based models (access to real-time data + domain-specific data) with generative models (natural language responses).

How Generative AI and Predictive Intelligence are Revolutionizing the Customer Support Experience

In this contributed article, Krishna Raj Raja, founder and CEO of SupportLogic, discusses how new Generative AI technology (like ChatGPT) is presenting an enormous business opportunity by extracting and surfacing customer insights that CSM’s may be missing in their daily customer support interactions.

Beyond the Hype: A Pragmatic  Approach to Evaluating  Generative AI Suitability 

In this contributed article, consultant and thought leader Richard Shan, believes that generative AI holds immense potential to transform information technology, offering  innovative solutions for content generation, programming assistance, and natural language  processing. However, its suitability hinges on the careful navigation of ethical concerns, security  risks, and the challenges associated with interpretability.

NEW Survey: Orgs are Ready for More GenAI, but Ill-equipped

83% of organizations are in the exploration or experimentation phase of their GenAI journey, but implementation and risk management challenges stand in the way of expansion. This is according to a new Dataiku and Forrester survey of AI decision-makers: “Accelerate Generative AI Applications With
Platform Capabilities.”

IT Survey Finds Enterprises Identify Automation and Generative AI as Top Business Priorities

Digitate, a leading provider of SaaS-based enterprise software for IT and business operations, released the results of its new study, “AI and Automation: Laying the Foundation for the Autonomous Enterprise” revealing that 90% of IT decision-makers plan to deploy more automation, including AI, in the next 12 months.