Source – https://www.analyticsinsight.net/ Virtually all businesses today rely on digital technology to drive major operations, including upstream and downstream supply, sales and marketing, recruitment and onboarding, and internal communication. This is a partial list, but a telling one – symbolic of the reasoning behind the statement that “every company is now a technology company.” The Read More

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Source – https://www.analyticsinsight.net/ Companies should develop a data science strategy to drive business intelligence. Business intelligence is not a luxury anymore but a necessity today. The rapid adoption of disruptive technologies has enabled companies to enhance growth and agility. Data fuels businesses in the current scenario and it enables companies to gain intelligent insights. Hence, data Read More

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Source – https://www.c4isrnet.com/ STUTTGART, Germany — NATO and its member nations have formally agreed upon how the alliance should target and coordinate investments in emerging and disruptive technology, or EDT, with plans to release artificial intelligence and data strategies by the summer of 2021. In recent years the alliance has publicly declared its need to focus on Read More

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Source – https://digit.fyi/ Speaking at DIGIT’s inaugural MarTech Virtual Summit, Daniel Winterstein, CTO at Good-Loop, discussed the ‘evolution’ of creative AI, and how the tech can aid your marketing strategy. In recent years we have seen a series of breakthroughs in the capabilities of artificial intelligence (AI) technology. We are now adopting AI tech across Read More

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Source – https://hackaday.com/ Simulating a tabletop game can be done for several reasons: to play the game digitally, to create computer opponent(s), or to prove someone wrong. In [Everett]’s case, he used Python to prove which adult was right about basic strategy in a children’s game. [Everett]’s 5-year-old loves a simple game called Hoot Owl Hoot! in which Read More

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Source: theserverside.com An effective microservices logging strategy can hinge on the size and scale of the system in question. For example, a microservices-oriented architecture composed of 20 microservices is less of a logging burden when compared to one composed of 200 microservices. Developers who hope to introduce a successful microservices logging strategy need to craft Read More

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Source: informationweek.com Data centers and disaster recovery are still structured around traditional transaction systems, but more companies are beginning to use big data in mission-critical ways. It’s time for IT to define DR and “mission-critical” status for big data. What are the critical ingredients that support both, and what should companies be doing now? First, Read More

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Source: helpnetsecurity.com Python backdoor attacks are increasingly common. Iran, for example, used a MechaFlounder Python backdoor attack against Turkey last year. Scripting attacks are nearly as common as malware-based attacks in the United States and, according to the most recent Crowdstrike Global Threat Report, scripting is the most common attack vector in the EMEA region. Python’s Read More

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Source:- techcrunch.com Machine learning is the holy grail of data analysis, but unfortunately, that holy grail oftentimes requires a PhD in Computer Science just to get started. Despite the incredible attention that machine learning and artificial intelligence get from the press, the reality is that there is a massive gap between the needs of companies to Read More

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Source:- knowledge.wharton.upenn.edu With more access to data and growing computing power, artificial intelligence (AI) is becoming increasingly powerful. But for it to be effective and meaningful, we must embrace people-first artificial intelligence strategies, according to Soumitra Dutta, professor of operations, technology, and information management at the Cornell SC Johnson College of Business. “There has to be a Read More

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Source- forbes.com There’s no doubt that artificial intelligence (AI) is a transformative technology – perhaps even the most transformative technology available today. But if you think the transformative nature of AI is limited to global tech giants and blue-chip companies, think again. AI is ultimately going to transform every business, in every industry. That’s why every company needs an AI strategy. Read More

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Source – forbes.com The artificial intelligence market is predicted to triple in 2017, becoming a $100 billion industry by 2025. In order to stay competitive, companies are turning to new AI software and solutions in their business operations. For example, Google recently launched an AI-powered job search feature right on its search results page. As a small business owner who Read More

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Artificial Intelligence