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Posts Tagged ‘AI Adoption’

Llm, Ai Large Language Model Concept. Businessman Working On Laptop With Llm Icons On Virtual Screen. A Language Model Distinguished By Its General Purpose Language Generation Capability. Chat Ai.

Unlocking Specialized AI: IBM’s InstructLab and the Future of Fine-Tuned Models — IBM Think 2024

I’ve been reflecting on my experience last week at IBM Think. As ever, it feels good to get back to my roots and see familiar faces and platforms. What struck me, though, was the unfamiliar. Seeing AWS, Microsoft, Salesforce, Adobe, SAP, and Oracle all manning booths at IBM’s big show was jarring, as it’s almost […]

Financial Market Design Concept

The Power of Generative AI for Financial Services

As the financial services industry continues to evolve, companies are looking for ways to stay ahead of the competition and increase their market share. One way to do this is by leveraging the power of generative AI. Generative AI is an advanced form of artificial intelligence that can create content from scratch, taking the burden […]

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Perficient Listed in The AI Service Providers Landscape, Q3 Report

Finding the Right AI Service Provider in a Data-Driven World It is not easy for even the most advanced enterprises to master modeling, data, applications, and digital expertise. Having the ability to take advantage of AI’s full potential as its capabilities expand is becoming increasingly important each day. A decision made using AI-driven intelligence will […]

Forrester Now Tech: AI Consultancies Report

Perficient Listed in Forrester Now Tech: AI Consultancies, Q1 2021

As AI continues to expand its reach into the enterprise, so does the desire to maximize its full potential. But the journey to realizing all of your AI aspirations can be a bumpy road with twists and turns if you don’t have an experienced consulting partner to help navigate. Technology maturity, opportunity cost, fast-changing regulations, […]

Intelligent Data Episode 3: Data Trends in AI

[Podcast] Data Realities for Implementing AI

According to the IDC’s Worldwide Artificial Intelligence Spending Guide, implementing AI has become a necessity for businesses to become more agile, innovate, and scale. And it appears that more companies are coming to terms with this as global spending is expected to reach more than $110 billion by 2024. In season 1 episode 3 of […]

IBM Podcast features Chief AI Strategist

AI Adoption Practices for the Enterprise [IBM Podcast]

Perficient’s Managing Director and Chief AI Strategist Christine Livingston recently joined IBM’s Big Data and Analytics team on its Making Data Simple podcast series. In this episode, AI adoption practices for the enterprise, Christine talks about her approach to AI within the consulting and enterprise industries, along with how she and her team have been […]

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Join Us for a Webinar About Microsoft’s Project Cortex and the Future of Knowledge Management

Microsoft has turned traditional enterprise content management on its head with its announcement of Project Cortex. Project Cortex uses advanced artificial intelligence to harness collective knowledge from across the enterprise and automatically organize it into shared topics like projects, products, processes, and customers. Using AI, Cortex creates a knowledge network based on relationships among topics, […]

AI adoption allows employees and AI to co-exist

AI Adoption and How to Thrive in The 4th Industrial Revolution

We live in a fantastic era of automated cars, drones delivering packages, chatbots taking fast food orders, and a new generation of robots’ co-existence with humans referred to as the 4th industrial revolution. AI has become an integral part of every discussion that I am in with a CXO. It’s always on their top five […]

5 Takeaways to Improve AI Adoption in 2019

Perficient’s Nico Frantzen, Senior Technical Architect for AI solutions, sat down with IBM’s cloud team for a podcast to discuss AI solutions and what you can do for successful AI adoption. Here are five takeaways that you can apply to your enterprise adoption in 2019. 1. You don’t need large amounts of data to start […]

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