AI in Corporate Legal - Meeting Challenges and Predicting the Future

July 4, 2019

AI is not just hype. According to a 2018 Gartner CIO survey, while only four percent of companies are using an AI solution, by 2030, AI will eliminate 80 percent of the work of today’s project management discipline, particularly mundane tasks like data collection, tracking, and reporting. Rather than eliminating jobs, however, AI is predicted to support business goals while helping workers become more efficient.

Spotlight

Snorkel AI

Snorkel AI is a technology startup that empowers data scientists and developers to turn data into accurate and adaptable AI applications fast with Snorkel Flow, a first-of-its-kind data-centric development platform, powered by programmatic labeling. Snorkel Flow reduces the time, cost, and friction of labeling training data so data science and development teams can more easily build and scale AI models to deploy more meaningful applications. Incorporating human judgment into the AI process through subject-matter experts is made more efficient and scalable, leading to more ethical, responsible outcomes. Five out of the top ten US banks, several government agencies and Fortune 500 companies use Snorkel Flow. Snorkel’s core research was developed at Stanford AI lab and is deployed at Google, Intel, Apple, IBM, DARPA, and other trailblazing organizations.

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AI for the Masses

whitePaper | October 13, 2022

Walk into any Fortune 500 organization, and you’re more than likely to find a room full of data scientists. These individuals are being described by many as the difference makers, the propagators of change, the fuel to the fire of innovation, and the essential ingredient to survival in today’s digital economy. Data scientist job openings are among the hardest positions to fill in the market, yet they are among the highest paying jobs at many companies.

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AI Test Drive clears the way for business case validation

whitePaper | August 26, 2022

Evolving data centers into intelligent hubs for digitized business processes poses numerous challenges for IT managers. Many organizations are already adopting hybrid IT concepts to make their data center operations more flexible. However, they also have to keep an eye on new requirements such as IoT, AI, blockchain, container technology as well as data security, legal regulations and climate change. How can all this be seamlessly integrated and managed? And, what will matter next for the data center of the future?

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HFS Enterprise AI Services Top 10

whitePaper | January 12, 2020

“The services market for artificial intelligence technologies is rapidly maturing on the back of several years of learning and a realization—delivering AI is unlike delivering any other technology thus far. Delivering on the promise of AI calls for far more collaboration between service providers, tech vendors, and enterprise clients.” The biggest differentiator in enterprise AI services, as described by most of the customer leaders, is the quality of people—not just the quantity available for a specific skill. Domain understanding and data engineering capabilities are top priorities. A culture of innovation, experimentation, collaboration, and co creation with customers is the key winning formula here.”

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Cloud Infrastructures –Last Call for Boarding

whitePaper | July 16, 2020

Is cloud computing becoming the norm? As part of the digital offensives by many companies, cloud infrastructures are fast becoming a crucial technology driver and success factor for innovative business models and digital products. The growing interest in the Internet of Things and machine learning sent the adoption rate of the cloud soaring at numerous companies. Now, it is a question of “how” rather than “whether” cloud services can be used successfully at German companies.

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10 Keys to AI Success in 2021

whitePaper | May 17, 2021

AI will impact every area of our lives, and its applications are virtuallylimitless. From solving society's biggest problems to creating newopportunities in business, AI will help us take huge leaps forward in this next decade.

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Unlock Business Value Through the Combination of Analytics and Artificial Intelligence

whitePaper | June 9, 2022

Artificial Intelligence (AI) powered Analytics is taking data management to the next level for almost all industry sectors without having to rely on technical staff or data scientists. Technology is helping create blue ocean opportunities amidst red ocean realities.

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Spotlight

Snorkel AI

Snorkel AI is a technology startup that empowers data scientists and developers to turn data into accurate and adaptable AI applications fast with Snorkel Flow, a first-of-its-kind data-centric development platform, powered by programmatic labeling. Snorkel Flow reduces the time, cost, and friction of labeling training data so data science and development teams can more easily build and scale AI models to deploy more meaningful applications. Incorporating human judgment into the AI process through subject-matter experts is made more efficient and scalable, leading to more ethical, responsible outcomes. Five out of the top ten US banks, several government agencies and Fortune 500 companies use Snorkel Flow. Snorkel’s core research was developed at Stanford AI lab and is deployed at Google, Intel, Apple, IBM, DARPA, and other trailblazing organizations.

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