New Study Reveals Organizations Embrace Generative AI and Human-in-the-Loop Automation Amidst Rising Costs and Frequency of Service Incidents

Transposit, the AI-powered incident management company, today announced results from its third annual State of DevOps Automation and AI research study about the intricate challenges faced by organizations in managing incidents effectively.

Generative AI Report – 11/1/2023

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.

Kickstart Your Business to the Next Level with AI Inferencing

The need to accelerate AI initiatives is real and widespread across all industries. The ability to integrate and deploy AI inferencing with pre-trained models can reduce development time with scalable secure solutions that would revolutionize how easily you can capture, store, analyze, and use data to be more competitive.

Infosys Generative AI Radar Report

Our friends over at Infosys Knowledge Institute released its Generative AI Radar report providing insight into over 1,000 U.S. and Canadian businesses on the current state of generative (gen) AI implementation and early indications of its ability to deliver value. 

Generative AI Highlights the Need for Identity Verification

In this contributed article, Mark Lieberwitz, Co-Founder & CPO of KarmaCheck, takes a look at how verified identities help restore trust in digital content, combat the erosion of trust caused by generative AI, and prevent the dissemination of false narratives. Implementing identity verification must be accompanied by robust privacy measures and industry-wide collaboration to protect user data and establish consistent standards.

Flatfile Acquires AI Start-up Chatcsv Inc., Further Expanding Leadership in AI-assisted Data Exchange

Flatfile, a pioneer of AI-assisted data exchange, announced the acquisition of AI start-up Chatcsv Inc. With breakout growth in just a few months since its release, ChatCSV already has thousands of users. From global enterprises such as Procter & Gamble and McKinsey to technology companies such as Zapier, Quora and Vimeo, companies rely on ChatCSV for quick, contextual insight into CSV files and spreadsheets.

Generative AI Report – 10/16/2023

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.

Three Considerations Before Adding Generative AI Capabilities to Your Security Stack 

In this contributed article, Ashley Leonard, president and CEO of Syxsense, reflects on some of the most pertinent issues affecting the adoption of generative AI in security. These include the question of who owns the AI output, how to conduct quality assurance to mitigate unwanted results, and companies’ overall preparedness to manage workforce displacement. The article also pulls real-life scenarios from across the industry and provide considerations to help businesses navigate generative AI adoption without missing out on the technology altogether.

Survey: Massive Retooling Around Large Language Models Underway

A recent survey of data scientists and engineers revealed that over half (53.3%) of today’s machine learning (ML) teams are planning on deploying a large language model (LLM) application of their own into production “within the next 12 months” or “as soon as possible”. Perhaps even more startling, however, is the finding that nearly one in ten (8.3%) enterprise ML teams have already deployed an LLM application into production.

Generative AI Report – 10/3/2023

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.