Enterprise AI Strategy: Page

Stability AI adopts new architecture in Stable Diffusion 3

The new version of the image model uses a different architecture than previous versions. It comes in different sizes and has better spelling capabilities.

By Esther Shittu • Feb. 22, 2024

AI vendor finds opportunity amid AI computing problem

The GPU cloud provider recently raised $320 million. It has found an opportunity as more enterprises seek to run generative models and the demand for infrastructure is high.

By Esther Shittu • Feb. 22, 2024

Improve AI security by red teaming large language models

Cyberattacks such as prompt injection pose significant security risks to LLMs, but implementing red teaming strategies can test models' resistance to various cyberthreats.

By Nihad Hassan • Feb. 14, 2024

ElevenLabs’ funding success shows growth of AI voice market

The startup has quickly raised a total of $101 million, reflecting the fast growth of new technologies like deep neural networks. Along with growth comes challenges.

By Esther Shittu • Jan. 23, 2024

Challenges the fintech industry faces with generative AI

As the new technology has exploded in other industries, financial organizations are also exploring how they can apply it. However, regulatory requirements hinder fast adoption.

By Esther Shittu • Jan. 17, 2024

Explore the impact of data science in business workflows

Data science and machine learning are reshaping business workflows and customer experiences, ushering in an era of highly tailored services and predictive strategies.

By Donald Farmer • Jan. 3, 2024

Five generative AI trends to look for in 2024

The boom will persist as enterprises become acclimated to the technology. More enterprises will start using genAI systems and organizations will incorporate governance measures.

By Esther Shittu • Dec. 19, 2023

6 generative AI predictions for 2024

Analyst Mike Leone predicts what's next for generative AI -- from open source to regulatory shifts -- offering a comprehensive view of where the industry is headed in 2024.

By Mike Leone • Dec. 13, 2023

How generative AI could change healthcare

Generative AI has joined the ranks of healthcare professionals in early use cases from medical research to patient communications. AI at scale isn't far behind.

By Mary Pratt • Dec. 11, 2023

Big money investments, not acquisitions, fuel GenAI startups

With the generative AI explosion comes a new trend for the tech giants. Instead of buying smaller companies, big cloud vendors are partnering with the startups.

By Esther Shittu • Dec. 11, 2023

Enterprise IT shops more likely to buy GenAI than build it

GenAI power requirements, the cost of computing and storage, and the high salaries demanded by AI specialists make it unlikely enterprises will take a do-it-yourself approach.

By Antone Gonsalves • Nov. 14, 2023

Explore real-world examples of AI implementation success

In 'All-In on AI,' authors Davenport and Mittal explore AI implementation examples from organizations that already made the AI leap with success. Read this book excerpt to learn more.

By Emily Foster • Nov. 9, 2023

DataRobot GenAI features aim to address enterprise concerns

The AI vendor's new capabilities addresses concerns about the new technology, such as governance, cost and scale. It also helps enterprises bridge two types of AI.

By Esther Shittu • Nov. 9, 2023

OpenAI’s new versions of GPT target more enterprises

The vendor targets enterprises with new tools and products tailored to what businesses and developers need to incorporate generative AI, including better pricing.

By Esther Shittu • Nov. 8, 2023

Custom generative AI models an emerging path for enterprises

Custom enterprise generative AI promises security and performance benefits, but successfully developing models requires overcoming data, infrastructure and skills challenges.

By Lev Craig • Oct. 4, 2023

Explore 14 real-world use cases for adaptive AI

Adaptive AI's ability to alter its code in response to changing circumstances is useful in dynamic, complex environments. Discover potential business use cases for this technology.

By Mary Pratt • Oct. 2, 2023

Amazon’s $4B investment in Anthropic fuels GenAI race

This makes the tech giant Anthropic's primary cloud provider. This arrangement is different from Google's investment in the AI startup and Microsoft's investment in OpenAI.

By Esther Shittu • Sept. 25, 2023

Lessons on integrating generative AI into the enterprise

At Generative AI World 2023, various industries convened to explore existing and potential generative AI use cases. Review insights from one company's implementation experience.

By Emily Foster • Sept. 21, 2023

Evaluate model options for enterprise AI use cases

To successfully implement AI initiatives, enterprises must understand which AI models will best fit their business use cases. Unpack common forms of AI and best practices.

By Tom Nolle • Sept. 18, 2023

A venture capitalist’s take on generative AI investment

Funding for startups such as Anthropic, Cohere and Hugging Face shows that money is still flowing into the market. However, the criteria for funding are still strict.

By Esther Shittu • Sept. 14, 2023

Generative AI in business: Fast uptake, earmarked funding

More than half of IT and business decision-makers said they have generative AI on the near-term adoption track, according to a report from TechTarget's Enterprise Strategy Group.

By John Moore • Aug. 31, 2023

ChatGPT Enterprise targets some enterprise concerns, not all

While the new product does not use customer prompts or company data in training OpenAI products, it fails to address other concerns surrounding hallucinations and copyright.

By Esther Shittu • Aug. 29, 2023

Meta AI translation model not ready for the enterprise

The tech conglomerate's new AI model is a move toward universal translation. However, the vendor needs the open source community to help ready the model for the enterprise.

By Esther Shittu • Aug. 24, 2023

Opportunities, challenges of ServiceNow generative AI plan

The vendor said that while it is creating its own LLM models, it's not interested in winning the LLM war. Instead, it wants its customers to use the models for specific use cases.

By Esther Shittu • Aug. 22, 2023

Why and how to develop a set of responsible AI principles

Enterprise AI use raises a range of pressing ethical issues. Learn why responsible AI principles matter and explore best practices for enterprises developing an AI framework.

By Emili Budell-Rhodes • Aug. 17, 2023