Tag: Generative AI

Mistral AI’s Independence from US Companies Lends it a Competitive Edge

by Beatriz Valle, posted in Big Data
B. Valle

Summary Bullets:

• Mistral AI’s valuation went up to EUR11.7 billion after a funding round of EUR1.7 billion spearheaded by Netherlands-based ASML.

• The French company has the edge in open source and is well positioned to capitalize on the sovereign AI trend sweeping Europe right now.

Semiconductor equipment manufacturer ASML and Mistral AI announced a partnership to explore the use of AI models across ASML’s product portfolio to enhance its holistic lithography systems. In addition, ASML was the lead investor in the latest funding round in the AI startup and now holds 11% share on a fully diluted basis in Mistral AI.

Continue reading “Mistral AI’s Independence from US Companies Lends it a Competitive Edge” →

Tech Leaders Leverage Unique Strengths to Tackle AI Agents

by Charlotte Dunlap, posted in Big Data, Cloud Enable
C. Dunlap Research Director

Summary Bullets:

• GenAI providers leverage strengths across the cloud stack to differentiate

• Progress in AI agents’ efforts are made via acquisitions, partnerships, and innovations

Technology providers across the GenAI ecosystem continue to build out AI agent and AI assistant strategies and portfolios to help demonstrate the power of GenAI technology through practical use cases, which highlight vendors’ unique technologies. In the year ahead, vendors will lean heavily on their strengths across the cloud stack in order to differentiate from rivals and appeal to customers.

Continue reading “Tech Leaders Leverage Unique Strengths to Tackle AI Agents” →

The Price is Right – Or is It?

by Gregg Willsky, posted in Cloud Enable, Communicate
G. Willsky

Summary Bullets:

• While rivals are aligned in stuffing their platforms full of GenAI features, they diverge when it comes to pricing those features.

• There is no easy answer as to whether GenAI features should cost extra — and not necessarily a right or wrong one.

When GenAI first arrived on team collaboration platforms, widespread fear was generated that hard-earned skills – and the employees that cultivated them – would be displaced. Those fears are softening as GenAI increasingly earns recognition as a tool that makes workers more productive. Mundane and time-absorbing tasks (such as generating meeting recaps, composing emails, and scheduling meetings) are outsourced to GenAI, allowing workers to focus on high-priority activities and increase their value to their organizations. Productivity enhancements have been delivered largely through a proliferation of virtual assistants involving every major competitor (e.g., Microsoft Copilot, Cisco AI Assistant in Webex Suite, and Zoom AI Companion).

Continue reading “The Price is Right – Or is It?” →

HCLTech Builds Customer Confidence by Offering Outcomes-based Pricing Models for Generative AI (GenAI)

by Rena Bhattacharyya, posted in Big Data, IT Leader
R. Bhattacharyya

Summary Bullets:

• HCLTech is taking a wise approach to building customer confidence in its GenAI services by offering outcomes-based pricing models.

• Tying compensation to performance, which can include KPIs and ROIs, is a logical next step.

GenAI is considered the most disruptive technology in the market today. Momentum is strong, with the market opportunity expected to grow from $2.8 billion in 2023 to $75.7 billion in 2028, a CAGR of 94%, as projected by GlobalData’s latest forecast. Enterprises across a range of industries are eager to harness the benefits of GenAI in a wide variety of use cases. The technology can be used to support customer service and marketing initiatives, improve operational efficiency, enhance security and fraud prevention measures, modernize applications, and much more.

Continue reading “HCLTech Builds Customer Confidence by Offering Outcomes-based Pricing Models for Generative AI (GenAI)” →

Generative AI Watch: Text-based Data is the Next Logical Evolution of Synthetic Data

by Rena Bhattacharyya, posted in Big Data

Summary Bullets:

R. Bhattacharyya

• Synthetic unstructured data, or text, can be used to train and finetune large language models (LLMs) used in customer support applications or chatbot conversations.

• The application of synthetic data, both tabular and unstructured, will continue to grow, driven by a need for additional training data as well as concerns over data privacy.

On October 1, 2024, MOSTLY AI announced that its platform can help enterprises create synthetic text, a timely new capability given the growing interest by enterprises to leverage GenAI to extract insights from unstructured data. Over the past several years, much of the conversation around synthetic data has focused on using GenAI to create synthetic tabular data. Tabular data is structured data that can be neatly organized, for example information that can be arranged in an excel file. The logical next step is to use GenAI to create text-based information that can be used to customize LLMs.

Continue reading “Generative AI Watch: Text-based Data is the Next Logical Evolution of Synthetic Data” →