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Data is essential: Building an effective generative AI marketing strategy

IBM Journey to AI blog

In a May 2023 survey carried out by IBM and Momentive.ai , 67% of CMOs reported that they plan on implementing generative AI in the next 12 months and 86% plan to do so within 24 months. Generative AI needs the right data As with all AI implementations, generative AI requires attention to sourcing and maintaining the underlying data.

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For the planet and people: IBM’s focus on AI ethics in sustainability

IBM Journey to AI blog

That means 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.” In 2023, 28 data centers globally received 100% of their electricity from renewable sources.

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Steve Salvin, Founder & CEO of Aiimi – Interview Series

Unite.AI

Having bootstrapped the company since launch, Steve has grown Aiimi to 8-figure revenues and their tech is used by the likes of the FCA, PwC, and the UK government. You initially studied AI over 30 years ago, what were you studying and what initially attracted you to the field? My career has been in this field ever since.

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Event-driven architecture (EDA) enables a business to become more aware of everything that’s happening, as it’s happening 

IBM Journey to AI blog

In modern enterprises, where operations leave a massive digital footprint, business events allow companies to become more adaptable and able to recognize and respond to opportunities or threats as they occur. Whether you are starting from scratch or looking to take the next step, IBM can help extend and add value to what you already have.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Doug Fuller, VP of Software Engineering at Cornelis Networks – Interview Series

Unite.AI

Cornelis Networks is a technology leader delivering purpose-built high-performance fabrics for High Performance Computing (HPC), High Performance Data Analytics (HPDA), and Artificial Intelligence (AI) to leading commercial, scientific, academic, and government organizations. What initially attracted you to computer science?

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Gemma, Meet NIM: NVIDIA Teams Up With Google DeepMind to Drive Large Language Model Innovation

NVIDIA

These models are built from the same research and technology used to create the Gemini models, and each is focused on a specific area: Gemma 2 is the next generation of Gemma models for a broad range of use cases and features a brand new architecture designed for breakthrough performance and efficiency.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.