CFOs are experimenting with AI use cases to free up capacity for business-critical work. Generative AI has the potential to transform the finance function. By taking on some of the more mundane tasks that can occupy a lot of time, generative AI tools can help free up capacity for more high-value strategic work. For chief financial officers, this could mean spending more time and energy on proactively advising the business on financial strategy as organizations around the world continue to weather ongoing geopolitical and financial uncertainty. CFOs can use large language models (LLMs) and generative AI tools to support everyday tasks like generating quarterly reports, communicating with investors, and formulating strategic summaries, says Andrew W. Lo, Charles E. and Susan T. Harris professor and director of the Laboratory for Financial Engineering at the MIT Sloan School of Management. "LLMs can't replace the CFO by any means, but they can take a lot of the drudgery out of the role by providing first drafts of documents that summarize key issues and outline strategic priorities."

Technologies like artificial intelligence (AI), machine learning (ML), and automation in all of its forms can augment human workers and enable them to pivot to more valuable work, and perform their jobs with more efficiency, safety, and ease. Yet there's justifiable concerns emerging regarding the potential of these technologies to displace human workers. Ronald van Loon is working in partnership with Protiviti, and was able to examine their recent study, Future of Work Top Risks Survey brief, which was conducted as a joint effort with NC State University, and lend his point of view as an industry analyst about the evolving dynamic between technology and the future of work. How we work changed dramatically over the course of the past year, leading to new remote and hybrid work models, changing workforce and employment trends, and ubiquitous technology adoption to accelerate the necessary transformation to sustain operations. Protiviti's findings indicate that the future of work is shaping up to be one of the most disruptive and definitive business challenges of the next decade.

Technologies like artificial intelligence (AI), machine learning (ML), and automation in all of its forms can augment human workers and enable them to pivot to more valuable work, and perform their jobs with more efficiency, safety, and ease. Yet there's justifiable concerns emerging regarding the potential of these technologies to displace human workers. Ronald van Loon is working in partnership with Protiviti, and was able to examine their recent study, Future of Work Top Risks Survey brief, which was conducted as a joint effort with NC State University, and lend his point of view as an industry analyst about the evolving dynamic between technology and the future of work. How we work changed dramatically over the course of the past year, leading to new remote and hybrid work models, changing workforce and employment trends, and ubiquitous technology adoption to accelerate the necessary transformation to sustain operations. Protiviti's findings indicate that the future of work is shaping up to be one of the most disruptive and definitive business challenges of the next decade.

The Institute we are announcing with NSF will support interdisciplinary research on a variety of modes of interaction between people and AI--like speech, written language, visuals and gestures--and how to make these interactions more effective. Importantly, the research, tools and techniques from the Institute will be developed with human-centered principles in mind: social benefit, inclusive design, safety and robustness, privacy, and high standards of scientific excellence, consistent with the Google AI Principles. Research projects in the Institute will engage a diverse set of experts, educate the next generation and promote workforce development, and broaden participation from underrepresented groups and institutions across the country. All research outcomes will be published to advance knowledge and progress in the field.

Vectorspace AI and LCX announced their partnership today in an official press release. Vectorspace AI is a spin-off from Lawrence Berkeley National Laboratory (LBNL) and the U.S. Dept. of Energy (DOE). LCX teamed up with Vectorspace AI to leverage their know-how on context-controlled Natural Language Processing, Artificial Intelligence (AI) and Machine Learning (ML) to improve the trading experience for our users. The goal of the partnership is build Smart Baskets for LCX Terminal to enable customized and unique trading opportunities across multiple cryptocurrencies across multiple exchanges, such as Liquid, Kraken, Coinbase Pro, Kucoin or Okex. Smart Baskets will contain cryptocurrencies which share known and hidden relationships based on proprietary Natural Language Processing and Understanding datasets.

XPO Logistics, Inc. (NYSE: XPO), a leading global provider of supply chain solutions, is partnering with the Massachusetts Institute of Technology (MIT) Industrial Liaison Program (ILP) to advance innovation in the fast-paced logistics industry. XPO is the first global logistics company to join the MIT ILP, which pairs its world-class research resources with industry-leading corporations to solve global business challenges. Mario Harik, chief information officer of XPO Logistics, said, "We're excited to explore the latest developments in technology with the MIT ILP. This is an opportunity for us to realize new levels of productivity for our customers, while providing input into the future of robotics, machine learning and systems engineering." The MIT ILP partnership is another example of XPO's commitment to lead the logistics industry with emerging technologies.

XPO Logistics, Inc. (NYSE: XPO), a leading global provider of transportation and logistics solutions, is partnering with the Massachusetts Institute of Technology (MIT) Industrial Liaison Program (ILP) to advance innovation in the fast-moving logistics industry. XPO is the first global logistics company to join the MIT ILP, which pairs world class research with industry leading corporations to tackle the biggest business challenges. Mario Harik, chief information officer of XPO Logistics, said, "We're excited to explore the latest developments in technology with the MIT ILP. This is an opportunity for us to realize new levels of productivity for our customers, while providing input into the future of robotics, machine learning and systems engineering." The MIT ILP partnership is another example of XPO's commitment to lead the logistics industry with emerging technologies.

As big pharmaceutical companies run into roadblocks in discovering new treatments, they are turning to AI startups for assistance. Large pharmaceutical companies are partnering with AI startups to develop new drugs and therapeutics. Artificial intelligence could expedite the drug discovery process by finding new molecular compounds faster than traditional methods. AI may also improve predictions for the outcomes of new drugs, potentially boosting the likelihood of success through each stage of the drug development pipeline. Pharma giants like Pfizer are collaborating with startups like XtalPi, a Massachusetts-based startup backed by Google, Sequoia Capital China, and Tencent Holdings.

Artificial Intelligence (AI) is being used in a number of places, and HR is no exception. In HR uses of AI, there is often a concern around bias. The promise of using AI to effectively remove bias is still tough for many to accept. In fact, one might think it sounds like a dream that will only be possible in some distant future. At Eightfold, we like to say the future is here today with our Talent Intelligence Platform.

Customer and partner expansion and industry recognition signal rapid adoption of company's sales and learning platform together with funding led by General Catalyst Allego, the sales learning and coaching platform, today announced the close of a strong quarter, in which the company added key new customers, renewed 100 percent of its existing customer base and garnered solid industry recognition for its mobile-friendly sales learning platform. Allego also announced it has closed a $7.5M investment led by General Catalyst. "Partnering with visionary sales and training leaders and our team's focus on ensuring their success continued to drive great results for both Allego and our customers in the first half of 2018" "Partnering with visionary sales and training leaders and our team's focus on ensuring their success continued to drive great results for both Allego and our customers in the first half of 2018," said Yuchun Lee, CEO and co-founder of Allego. "We're excited to see the modern learning paradigm -- characterized by easily created and absorbed content, provided continuously and in bite-sized pieces, with reinforcement and support for informal learning -- rapidly gaining traction across sales training and corporate L&D." As it has since inception, Allego continues to fund its growth through positive operating cash flow.