Big Data


10 business trends to make or break AI initiatives: 7wData

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This seems like an obvious one, but with so many potential areas for AI exploration, starting with the right projects--and stakeholders--is crucial for long-term success. First and foremost, the process of identifying and selecting use cases shouldn't be driven by technology alone. That is, you don't want to think about AI solely in terms of where you can apply natural language processing, for example, or how you can leverage a labeled data set. Instead, ask where you seek to increase productivity or derive new value. Going through the questioning exercise above with the various leaders who may own or touch AI, such as the chief information officer, chief digital officer, chief data scientist, and other specialists (see #3), will enable you to identify where to start.


Global Big Data Conference

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Yes, companies use AI to automate various tasks, while consumers use AI to make their daily routines easier. But governments–and in particular militaries–also have a massive interest in the speed and scale offered by AI. Nation states are already using artificial intelligence to monitor their own citizens, and as the UK's Ministry of Defence (MoD) revealed last week, they'll also be using AI to make decisions related to national security and warfare. The MoD's Defence and Security Accelerator (DASA) has announced the initial injection of £4 million in funding for new projects and startups exploring how to use AI in the context of the British Navy. In particular, the DASA is looking to support AI- and machine learning-based technology that will "revolutionise the way warships make decisions and process thousands of strands of intelligence and data."


Machine Learning Tools Unlock the Most Critical Insights from Unstruc…

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Feel free to share but we would appreciate a Health Catalyst citation. Prof, Dept of Family Medicine, Indiana University School of Medicine This report is based on a 2018 Healthcare Analytics Summit presentation given by Shaun Grannis, MD, MS, FAAFP, FACMI, Director Regenstrief Center for Biomedical Informatics; Assoc. Prof, Dept of Family Medicine, Indiana University School of Medicine, entitled "Real-World Examples of Leveraging NLP, Big Data, and Data Science to Improve Population Health and Individual Care Outcomes." Feel free to share but we would appreciate a Health Catalyst citation. Many healthcare leaders operate on the premise that health system caregivers and stakeholders are more effective and better at what they do with the aid of thoughtful IT. This concept drives data analytics and technology integration in healthcare. But what does thoughtful IT mean? Thoughtful IT occurs when health systems use the right technology to lead to accurate data to deliver better patient care and improve outcomes. Feel free to share but we would appreciate a Health Catalyst citation.


Kristal.AI Offers Intelligent Personalised Investment Advisory, Closes Series A Funding Round

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According to a ResearchAndMarkets report, the digital asset management market was valued at around $1,240 million in 2018, and it is projected to reach $6,901 billion by 2024. The market is expected to grow at a CAGR of 34.1%, during the forecast period, 2019-2024. The report also suggests that the market is witnessing increased adoption of big data analytics and Artificial Intelligence, including facial recognition. Asheesh Chanda was aware of the importance of AI in financial planning and knew how to deploy it to deliver unbiased and factual recommendations to clients; thanks to his experience of managing a Singapore-based global macro hedge fund called KrisCapital. He used this vision and knowledge to create Kristal.AI – an AI-powered Digital Wealth Management Platform – in 2016 along with his friend and former IIT-D room-mate Vineeth Narasimhan.


Accountants to rely more on big data in 2020

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Technology such as data analytics, artificial intelligence, machine learning, blockchain and robotic process automation will be playing a greater role in the accounting profession this year, according to a recent report from the Institute of Management Accountants. The report indicates that finance and accounting professionals are increasingly implementing big data in their business processes, and the pattern is likely to continue in the future. The IMA surveyed its members for the report and received 170 responses from CFOs and other management accountants. Many of the CFOs are predicting big changes for 2020 in their businesses. "Four key elements must be present for organizations looking to become data-driven: data-savvy people, quality data, state-of-the-art tools and a supportive organizational culture," according to the report.


The Future of Lawyers: Legal Tech, AI, Big Data And Online Courts

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In the future, is it conceivable that a firm would be charged with legal malpractice if they didn't use artificial intelligence (AI)? Today, artificial intelligence offers a solution to solve or at least make the access-to-justice issue better and completely transform our traditional legal system. Here's what you need to know about how AI, big data, and online courts will change the legal system. When I sat down in conversation with Richard Susskind, OBE, the world's most-cited author on the future of legal services, to discuss the future of law and lawyers, it became apparent just how much change the legal system will face over the next decade thanks to innovation brought about by artificial intelligence and big data. In Richard's book The Future of Law, published in 1996, he predicted that in the future, lawyers and clients would communicate via email.


Manager and machine: The new leadership equation

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In a 1967 McKinsey Quarterly article, "The manager and the moron," Peter Drucker noted that "the computer makes no decisions; it only carries out orders. It's a total moron, and therein lies its strength. It forces us to think, to set the criteria. The stupider the tool, the brighter the master has to be--and this is the dumbest tool we have ever had."1 1.Peter Drucker, "The manager and the moron," McKinsey Quarterly, 1967. After years of promise and hype, machine learning has at last hit the vertical part of the exponential curve.


Using Ai & Big Data To Predict The Weather

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This was the message that founder of WeatherOptics, Scott Pecoriello, gave me when talking about the significance of his startup. WeatherOptics began as a weather blog run by Pecoriello before it transformed into a disruptive tech startup at the end of 2016. The company started working with small scale businesses, such as summer camps, before expanding its reach into different industries to "test the waters." The startup currently has twelve employees, including a small team of engineers and meteorologists. The data side of the company is run by Jared Goldberg, while the meteorology side is run by Joshua Feldman, both of whom sat down with me alongside Scott.


BBVA helps World Economic Forum design new global AI toolkit for business

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The toolkit, which is free to access, is aimed at business leaders to help companies make informed decisions about AI solutions that protect the customer and shareholders alike. Artificial intelligence and big data, are proven contributors of innovation to the financial system. The digital explosion and technological advances have caused a revolution in society and in the corporate organization. As explained by Jorge Sicilia, Chief Economist of BBVA Group and director of BBVA Research, the financial sector is no stranger to these changes and the next wave of innovation is going to be based on artificial intelligence. With the global spend on AI expected to hit $52 billion in the next three years, according to the WEF report, and to double the annual growth rates of major economies in the next 15 years, the kit is also aimed at ensuring business can benefit from machine learning in the best way.


Doing more with Data and evolving to DataOps

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As technology evolves at a rapid pace, the healthcare industry is transforming quickly along with it. Tech breakthroughs like IoT, advanced imaging, genomics mapping, artificial intelligence and machine learning are some of the key items re-shaping the space. The result is better patient care and health outcomes. To facilitate this shift to the next generation of healthcare services – and to deliver on the promise of improved patient care – organizations are adopting modern data technologies to support new use cases. We are a large company operating healthcare facilities across the US and employing over 20,000 people.