As AI and NLP models move toward ubiquity, guardrails are needed to prevent the spread of misinformation and negative or unsavory information.
Search Results: NLP (144)
Startups are focusing on specific use cases to apply NLP tools within the RPA industry, such as for improving workflow automation and customer service.
With the advancement of natural language processing (NLP) tools, guardrails and content moderation are critical to combat bias that can creep in.
Natural-language processing (NLP) can benefit virtual worlds in many cross-sectional ways. Kieron Allen outlines a few use cases.
Tom Smith profiles an innovative AI startup whose bots are bolstered by natural language processing, making them highly tuned to automatically handle finance functions.
The automation software leader just acquired Re:infer, a London-based provider of natural language processing software for unstructured documents and communications, to help deliver superior interactions with customers.
In this Enterprise AI Minute, Aaron talks about how textless NLP, such as Meta’s Generative Spoken Language Model, is the next step in AI evolution.
The startup Writer builds enterprise-grade tools to help companies create AI apps, as well as off-the-shelf apps optimized for vertical industries. Big customers are embracing the approach.
Jerry Dischler and Colleen Kapase describe how describe how Google Cloud empowers businesses through innovative offerings, such as Gemini.
With the rapid rise of AI, lawmakers are turning their attention to developing AI regulations and legislation to mitigate risks while protecting business and consumers.
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.
Establishing a Chief AI Officer is becoming a vital element of the C-Suite, as more regulations form around AI.
Daniela Amodei co-founded Anthropic with the goal of maintaining helpfulness, honesty, and harmlessness in the development of AI.
UiPath delivers several automation and AI products, building on its RPA roots, to deliver quality customer experiences, transform enterprise operations, and increase productivity and performance.
Artificial intelligence presents a powerful opportunity for organizations to pursue new streams of revenue and reach new markets.
The financial services sector has embraced AI for many functions, including analysis and decisions regarding investing in companies.
Figure and several other startups are developing humanoid robots to augment jobs in factories, transportation centers, warehouses, and logistic centers.
Nation-states, including China, Iran, North Korea, and Russia, are reported to be utilizing AI, particularly OpenAI’s platform, for malicious cyber activities.
The onset of the AI era has revealed critical skills for business environments as well as new AI-influenced roles that represent opportunities for innovation and growth.
In order to prepare companies for the future of technology-driven business, it’s incumbent upon CIOs to identify and actively address the most critical tech skills gaps.