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Softcom partners Data Science Nigeria to simplify Artificial Intelligence for Nigerian students …

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Titled "Beginners' Artificial Intelligence and Python Programming", the book was written by the convener of Data Science Nigeria, Olubayo Adekanmbi, …


Georgia man charged with scamming woman out of more than $6.5M with fake online relationship

FOX News

Fox News Flash top headlines for Nov. 27 are here. Check out what's clicking on Foxnews.com A Georgia man is accused of scamming a Virginia woman out of more than $6.5 million after wooing her into a romantic relationship through an online dating site. Nnamdi Marcellus MgBodile, 35, from Marietta, Georgia, was charged with 20 counts of bank fraud, money laundering and conspiracy to commit bank fraud, according to a Justice Department press release on Wednesday. MgBodile and others also allegedly tried to scam a company out of $350,000 using an email scheme, according to the DOJ.


Black Friday 2019: The best AI smartphones

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Black Friday or Cyber Monday, take your pick; it's that time of year again. If you're in the market for a smartphone -- and it's statistically likely you are, given that 403.5 million handsets shipped last holiday season -- there's no better month to seek out promotions, discounts, and limited-time deals on new devices. Samsung is hosting a sale on Galaxy phones including the Galaxy S10e, S10, S10 Plus, and S10 5G, and OnePlus recently knocked $150 off the price of the OnePlus 7 Pro. Carriers like T-Mobile, Sprint, AT&T, and Verizon are awarding up to $700 in trade-in credits, and as for retailers, there's the usual doorbusters. It's almost too much of a good thing -- particularly if you aren't committed to a brand, a model, or a manufacturer. Conventional wisdom would have you judge a device by its screen or perhaps its camera, but we took a different tack last year with our guide to the best phones for the AI enthusiast.


2019 Worldcom Confidence Index Gleans Insight from More than 58,000 Business Leaders Worldwide - RH Strategic

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Over the past year, business leaders worldwide have been sensing that confidence is low – but where's the data to support that? The 2019 Worldcom Confidence Index fills that void with hard data gathered using a revolutionary methodology powered by artificial intelligence (AI). Last year, we predicted that AI would be the big issue of 2019, and we were right. The 2019 Worldcom Confidence Index is just one example of how AI has fundamentally altered our operating concept across a range of industries – from healthcare to manufacturing and now to survey methodology. This forward-thinking approach to gathering and analyzing data is emblematic of the work Worldcom Public Relations Group does and is one of the reasons we're proud to be a member of this global PR network.


Artificial Intelligence Market Size & Share

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The global artificial intelligence (AI) market size was valued at USD 20.67 Billion in 2018 is projected to reach USD 202.57 Artificial intelligence is the result of a perfect blend of several technologies leading to the creation of intelligent hardware or software, capable of replicating human behaviors, namely learning and problem-solving. The version of artificial intelligence technology available at present allows machines to complete various human tasks, such as driving automobiles and reacting to their environment, providing virtual assistance, and even playing games. Forms of AI in use today include digital assistants, chatbots and machine learning, among others. AI will facilitate more seamless integration of supply chain data, enabling anticipatory production and efficient delivery of products to customers.


#FinServ_2019-11-26_12-46-43.xlsx

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The graph represents a network of 2,416 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 26 November 2019 at 20:47 UTC. The requested start date was Monday, 25 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 5,000. The tweets in the network were tweeted over the 5-day, 4-hour, 58-minute period from Tuesday, 19 November 2019 at 20:02 UTC to Monday, 25 November 2019 at 01:01 UTC.


One Big Problem With Driverless Cars: Figuring Out How They Make Money

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As it turns out, making cars drive themselves may have been the easy part. The hard part is yet to come. Over the past few days, the Financial Times has detailed in two reports how the autonomous vehicle businesses of Silicon Valley are beginning to reckon with a new issue: being functioning businesses. I understand this must be a new and troubling development for any Silicon Valley startup, but here, it sounds like a profound wakeup call. Increasingly, industry insiders recognise that commercialising their technologies may be more difficult than anticipated -- due to questions around "government approval, public trust, brand marketing, the ability to manufacture at scale and the technical knowhow to manage a fleet that competes with the likes of Uber and Lyft on timely pick-ups", Patrick McGee reports in his weekend Big Read.


Artificial Intelligence(AI) in Retail Market- increasing demand with Industry Professionals: IBM, Microsoft, Nvidia, Amazon Web Services, Oracle, SAP - Med News Ledger

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A New Research on the Global Artificial Intelligence(AI) in Retail Market was conducted across a variety of industries in various regions to produce more than 150 page reports. This study is a perfect blend of qualitative and quantifiable information highlighting key market developments, industry and competitors' challenges in gap analysis and new opportunities and may be trending in the Artificial Intelligence(AI) in Retail market. Some are part of the coverage and are the core and emerging players being profiled IBM, Microsoft, Nvidia, Amazon Web Services, Oracle, SAP, Intel, Google, Sentient Technologies, Salesforce, Visenze. Import and export policies that can have an immediate impact on the global Artificial Intelligence(AI) in Retail market. This study includes EXIM * related chapters for all relevant companies dealing with the Artificial Intelligence(AI) in Retail market and related profiles and provides valuable data in terms of finances, product portfolio, investment planning and marketing and business strategy. The study is a collection of primary and secondary data that contains valuable information from the major suppliers of the market.


Live: The global AI Ecosystem Wiki

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It is an open directory of AI ecosystem activities, stakeholder information and more that shall foster collaboration between AI practitioners worldwide, provide access to those interested in becoming active in the field of AI, and drive local and global AI agenda development via the necessary input from the grassroots AI community. As of now, we're having 26 cities from already 6 continents unlocked, roughly 500 upcoming events to join, over 1,000 active community groups to engage with, tens of local AI influencers to follow and almost 1,000 startups to discover. The past year, we've seen various ambassadors using the information to bring together local AI stakeholders such as Meetup organizers and other community actors, AI startup founders, data scientists and machine learning engineers from various organziations, AI-related initiative founders and governmental/municipality representatives discussing to develop (a) their local AI ecosystem further and (b) an aligned AI agenda. Our new director Valentina Colombo joined us to facilitate ambassadors and the AI community leveraging the AI Ecosystem Wiki in even more ways. Expect regular newsletters on the global AI ecosystem, progress benchmarks and reports, local AI ecosystem regulars, AI Council support and much more.


Value from health data creates dilemma for society

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The power of artificial intelligence to transform every field it touches is one of the unchallenged truths of our time -- but when it comes to healthcare, the technology's potential is often seen through a western lens. From hopes of faster drug discovery to systems that will help people manage chronic diseases better, the emphasis is frequently on how it can support, or otherwise make life easier, for those in the developed world. But attention is increasingly turning to how AI can address the pressing problems of poorer nations as they seek to move towards universal health coverage. In some cases, these are challenges that are distinct to the global south, but in others the problems faced in developing regions are to some extent shared by patients, physicians and payers across the globe. The Lancet's collaboration with the Financial Times on a commission on the convergence of digital health, AI and universal health coverage will concentrate on international governance and regulatory regimes.