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Fintech, ai, machinelearning, cybersecurity & much more…

AI News Wednesday, July 4

Forbes Welcome

  • Over the last several years, millennials have been upending the consumer market as companiesscrambleto find the best way to attract the worlds first group of digital natives, a wily lot who thrive on innovation, automation and all of the latest tech gadgets.
  • In fact, a lot of big banks have already deployed mobile apps in an effort to keep up with shifting consumer trends, which are rapidly moving toward the complete digitization of the sector.
  • Fintech is taking this approach a step further by essentially replacing (human) financial advisors with robo-advisors that use big data, machine learning and AI to essentially cherry-pick the best investment opportunities for this new generation of investors.
  • As the CEO of my own mobile app and web development shop, Ive worked with quite a few fintech startups over the last decade that understand the importance of targeting the needs of this valuable customer base.
  • The app seems in line with the millennial mindset: It allows a user to invest their spare change into companies they love by employing machine learning to create customized stock portfolios based on the individuals unique interests and preferences.

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Forbes Welcome

Can Cybersecurity be Entrusted with AI?

  • This is the first post in AI role in CyberSecurity series by #AILabPage,second post is available here – – In a cybersecurity context, AI is a software that perceives its environment well enough to identify events and take action against predefined purpose.
  • Barclays Africa is beginning to use AI and machine learning to both detect cybersecurity threats and respond to them.
  • Will AI be the bright future of security as the sheer volume of threats is becoming very difficult to track by humans alone.
  • Cybersecurity state as on date is too much vulnerable but implementation of AI systems into the mix can serve as a real turning point.
  • Threat detection is certainly a main focus of todays AItogether with machine learning technology push.

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Can Cybersecurity be Entrusted with AI? | Vinod Sharma’s Blog

The state of machine learning in 2018 – JAXenter

  • 2017 saw incredible progression for things like data science, artificial intelligence, and machine learning.
  • In 2017, we witnessed data science making a pathway for AI and machine learning at center stage of the technology cycle.
  • This is the year where we are likely to see a new focus of big data, AI, and ML on various areas like customer service, machine intelligence, process automation, workforce transformations, and more.
  • Big data, artificial intelligence, and machine learning are likely to generate new job opportunities in 2018.
  • This year we are supposed to witness a steep upward trend in demand for specialists with professional competency in emerging technologies such as big data, artificial intelligence, and machine learning.

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The state of machine learning in 2018 – JAXenter

Six challenges to implementing big data analytics

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Six challenges to implementing big data analytics | Packaging World

Hydrogen: Removing fintech startup barriers – Delano – Luxembourg in English

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Hydrogen: Removing fintech startup barriers – Delano – Luxembourg in English

Natural Language Processing – Automatic Summarisation

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Natural Language Processing – Automatic Summarisation

Planck Re scores $12M Series A to simplify insurance underwriting with artificial intelligence

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Planck Re scores $12M Series A to simplify insurance underwriting with artificial intelligence

Gavin Williamson interrupted by Siri during Commons statement – BBC News

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Gavin Williamson interrupted by Siri during Commons statement – BBC News

The Week in Internet News: WiFi Gets a New Security Standard

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The Week in Internet News: WiFi Gets a New Security Standard | Internet Society

Russian Military Embraces Blockchain to Fight Hackers – Cryptovest

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Russian Military Embraces Blockchain to Fight Hackers – Cryptovest

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