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AI Research Helps Businesses Make Better Decisions - Australian Cyber Security Magazine

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The University of Adelaide and MTX Group have entered into a research collaboration to develop new insights in machine learning (ML) and artificial intelligence (AI). Bringing together their academic research and commercial expertise and experience, the two organisations will undertake specific, outcomes-focussed research. They will use AI to model uncertainty with a view to avoiding failure within systems that may be used in defence and business environments. The University and MTX Group have jointly been awarded $100,000 under the Artificial Intelligence for Decision Making Initiative which is a collaborative project between the Australian Government's Office of National Intelligence (ONI) and the Defence Science and Technology Group (DST). Dr Duong Nguyen and Dr George Stamatescu from the University's School of Computer Science will work alongside Dr Ammar Mohemmed from MTX Group.


How Machine Learning and Artificial Intelligence Empower CRM

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Could machine learning and artificial intelligence be the next big thing for customer relationship management (CRM) software? The experts believe so since these technologies can help businesses get more value from their data. As companies continue to grow, so must the tech stack used to manage them. This is especially true for CRM solutions, which need to keep up with the ever-changing demands of customers and their interactions with businesses. Fortunately, machine learning and AI are enabling CRM to do just that.


CSC Advances Industrial Machine Learning to Help Businesses Make Better Decisions Using Enterprise-Wide Data Insights

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TYSONS, Va.--(BUSINESS WIRE)--CSC (NYSE: CSC) today announced the expansion of its strategic alliance with Microsoft through the advancement of Industrial Machine Learning (IML) solutions that enable data scientists to produce new data-derived enterprise insights, leading to better and more timely business decisions. Most large, data-rich companies fail to benefit from information on an enterprise-wide scale because they are not equipped to effectively capture and analyze available data sources. A recent survey from PwC and Iron Mountain found that 57 percent of businesses are unable to extract significant value from their information, and 23 percent are unable to derive any real value at all. Regardless of size, geography or sector, businesses are struggling to fully realize value from their information. "CSC has been working with Microsoft on industry-specific approaches to the problem of creating data science that works," said Dan Hushon, chief technology officer, CSC.