Professional Services
Deloitte Buys AI Group That Got CLM LinkSquares Going
Deloitte has acquired SFL Scientific, a leading AI strategy and data science consulting firm. The move is especially interesting as SFL helped NLP-driven CLM company LinkSquares to get to grips with machine learning. In a fascinating blog post for Amazon Web Services (AWS), Michael Luk, chief technology officer at SFL Scientific, wrote: 'LinkSquares built its initial prototype using SQL running on AWS, but it wasn't using any machine learning technology. 'We learned about the team's vision to process terms and language automatically and understood the business pain points. We proposed building a custom machine learning solution to help the team scale and improve accuracy.'
Deloitte Launches Artificial Intelligence Initiative - AI Summary
The DIAL program will leverage the university's research in data analytics and artificial intelligence, along with Deloitte's experience in AI-enabled services for clients in the private and public sectors. "The DIAL program enables Smith and Deloitte to continue their critical collaborations at the forefront of cutting-edge research and emerging technology," said Wedad Elmaghraby, dean's professor of operations management, in a statement last week. "This includes partnering with local industry and federal partners to drive innovation for the public good, creatively pushing our students to embrace analytics challenges in new and unexplored areas of importance, and investing in our understanding of ethical, trustworthy artificial intelligence to further its potential promise." "Alongside our longstanding work with the University of Maryland, DIAL will help provide policymakers, industry leaders, researchers and the broader public with a deeper understanding of artificial intelligence," said Darren Schneider, a principal at Deloitte Consulting LLP, in a statement. It will also examine how government agencies can overcome barriers to AI and use this technology to advance diversity, equity and inclusion, as well as administration priorities at the enterprise level.
Deloitte launches artificial intelligence initiative
Deloitte and the University of Maryland's Robert H. Smith School of Business debuted the Deloitte Initiative for AI and Learning, a collaboration to improve educational and advancement opportunities for students and faculty. The DIAL program will leverage the university's research in data analytics and artificial intelligence, along with Deloitte's experience in AI-enabled services for clients in the private and public sectors. DIAL will build on previous Deloitte and Smith collaborations, such as the Smith Analytics Consortium. "The DIAL program enables Smith and Deloitte to continue their critical collaborations at the forefront of cutting-edge research and emerging technology," said Wedad Elmaghraby, dean's professor of operations management, in a statement last week. "This includes partnering with local industry and federal partners to drive innovation for the public good, creatively pushing our students to embrace analytics challenges in new and unexplored areas of importance, and investing in our understanding of ethical, trustworthy artificial intelligence to further its potential promise."
UMD, Deloitte Launch New Artificial Intelligence Initiative
The Robert H. Smith School of Business has joined Deloitte to launch the Deloitte Initiative for AI and Learning (DIAL), an artificial intelligence (AI) research initiative to expand learning and development opportunities for faculty and students across the University of Maryland's schools and colleges. DIAL will build on previous Deloitte and Smith collaborations, such as the Smith Analytics Consortium. "The DIAL program enables Smith and Deloitte to continue their critical collaborations at the forefront of cutting-edge research and emerging technology," said Wedad Elmaghraby, Dean's Professor of Operations Management. "This includes partnering with local industry and federal partners to drive innovation for the public good, creatively pushing our students to embrace analytics challenges in new and unexplored areas of importance, and investing in our understanding of ethical, trustworthy artificial intelligence to further its potential promise." The Deloitte AI Institute for Government is funding the initiative, and serves as Deloitte's hub for innovative perspectives, collaboration and research on AI and related technologies in the public sector.
UMD Smith and Deloitte Launch Initiative to Expand AI Study and Outreach Opportunities
The Robert H. Smith School of Business at the University of Maryland (UMD) has joined Deloitte to launch the Deloitte Initiative for AI and Learning (DIAL), an artificial intelligence (AI) research initiative to help expand learning and development opportunities for faculty and students across the university's various colleges. UMD, Maryland's flagship educational institution, is a recognized leader in AI, data analytics and research. DIAL will be based within UMD's Robert H. Smith School of Business and will build upon previous Deloitte and Smith collaborations, such as the Smith Analytics Consortium. Funding for DIAL was provided by the Deloitte AI Institute for Government. "The DIAL program enables Smith and Deloitte to continue their critical collaborations at the forefront of cutting-edge research and emerging technology," said Wedad Elmaghraby, Dean's Professor of Operations Management at UMD's Robert H. Smith School of Business.
How organisations can advance their AI maturity: Prithivijit Roy, Accenture Applied Intelligence
Organisations that have reached a higher level of AI maturity than others have mastered a set of capabilities across technology, organizational strategy, talent and culture. In an interaction with Dataquest, Prithivijit Roy, Managing Director, Accenture Applied Intelligence (AAI) explains why AI is everyone's business and how organisations can advance their AI maturity. DQ: Where are enterprises in their AI adoption journey currently? What are the challenges they face? Prithivijit Roy: Each industry is in different stages of their AI adoption journey, according to Accenture's latest research on AI maturity.
Data Analyst - Consultant / Senior Consultant
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Metaverse report--Future is here: Global XR industry insight
XR refers to creating a virtual manmachine interaction environment by combining the real and the virtual through a computer. XR is a general term for VR (Virtual Reality), AR (Augmented Reality), MR (Mixed Reality) and other technologies. At present, VR devices account for nearly half of the market share, AR for about a third, and MR for the rest. As the development of 5G technology and network empowers more application scenarios, combined with the integration of AI technology with computational vision and the innovative functions of hardware, VR and AR technologies and applications will become more integrated and interoperable. It is here that the MR and XR concepts emerge. XR will create a world where the virtual and the real are completely intertwined.
Accenture to Bring Their Tech Symposium to the Machine Learning Center at Georgia Tech
In an effort to expand services in machine learning, artificial intelligence (AI), and data science, Accenture will hold a Tech Symposium on Feb. 25 at the Machine Learning Center at Georgia Tech (ML@GT.) During the three-day event, guests will be treated to a tour of ML@GT's new home in Coda Tech Square and talks from several of ML@GT's faculty including Sehoon Ha, Zsolt Kira, Yao Xie, George Lan, Srijan Kumar, and Polo Chau. Attendees will include Accenture employees and clients from General Electric, NCR, Bank of America, and The Hershey Company. "We are thrilled to host Accenture and their clients. Accenture is a leader in strategy, digital, technology, and operations, and many of their clients are renowned for how their products and services are shaping our world. Being able to connect them with the groundbreaking work that our students and faculty are doing is a great opportunity and we are looking forward to having them on campus," said Irfan Essa, director of ML@GT.