Analyst Toni Witt shares two real-world use cases demonstrating how large language models like GPT-4 enhance finance processes, reduce errors and biases, and boost efficiency.
Search Results: Chat GPT (397)
GPT is the underlying machine learning model that powers ChatGPT. Toni Witt explains what it is, and how its evolution will impact generative AI.
Databricks has rolled out its own AI model intended as a simpler alternative to ChatGPT, with an aim to help customers build chatbots.
With the recent announcement of ChatGPT plugins, many companies are developing ways to optimize Generative AI capabilities.
With OpenAI’s recent release of the next generation of GPT, Toni Witt breaks down highlights including more accurate and more safe outputs.
With a squarely enterprise-focused business model and an AI product set to serve enterprise requirements, Cohere has staked out a distinctive position in the AI ecosystem.
Analyst Tom Smith sheds light on SaaS software startup Gong, a pioneer in the application of AI to the selling process, which could translate to increased revenue.
ServiceNow CEO Bill McDermott says the company is now AI-native and targeting five high-growth markets worth more than $600 billion, backed by strong momentum in AI, security, CRM, employee experience, and data management.
An exploration of why future agility, rather than future-proofing, is becoming the defining characteristic of successful digital businesses.
Christopher Lochhead explains how AI is making knowledge and execution increasingly free, shifting competitive advantage to agent-driven systems.
OpenAI’s enterprise business is emerging as the company’s primary growth engine, already accounting for 40% of revenue and expected to reach 50% by the end of 2026, according to CRO Denise Dresser.
OpenAI’s enterprise business now accounts for 40% of revenue and could reach 50% by year-end, signaling a major shift toward enterprise AI leadership.
Enterprise AI success depends not just on innovation speed, but on governance, interoperability, migration readiness, and organizational change.
SAP is positioning industry-specific AI as a stronger differentiator than generic horizontal enterprise AI tools.
OpenAI’s latest Codex upgrades show the company rapidly evolving from standalone AI tools toward a unified “super app” where persistent AI agents can work across apps, retain memory, automate workflows, and increasingly act on behalf of users.
After years of disconnected AI breakthroughs, Gemini Enterprise delivers a cohesive system that simplifies deployment, enhances usability, and enables enterprises to fully leverage agentic AI across operations, data, and workflows.
At Google Cloud Next, Gemini Enterprise emerges as a major step forward in enterprise AI, combining integrated data access, industry agents, advanced security, and partner innovation into a simplified, end-to-end platform.
Google introduces Gemma 4, an advanced open AI model series designed for local deployment. With mobile-first capabilities, multimodal processing, and strong reasoning, it empowers developers to build scalable AI applications without relying on cloud infrastructure.
Round of enhancements also includes simplified prompting during agent-building processes, new content moderation controls to govern sensitive material.
With revenue scaling faster than Alphabet and Meta, OpenAI is investing heavily in infrastructure and partnerships to support surging AI demand and enterprise adoption.