Cloud computing offers scalable on-demand services to consumers with greater flexibility and lesser infrastructure investment. Since cloud services are delivered using classical network protocols and formats over the Internet, implicit vulnerabilities existing in these protocols as well as, threats introduced by newer architectures raise many security and privacy concerns. There are many questions that arise as to whether a cloud is secure enough. There exist numerous threats, like insecure interfaces and APIs, malicious insider attacks, data loss and leakage, account or service hijacking, unknown risk profile, etc. If cloud service provider relies on weak set of APIs, variety of security issues will be raised related to confidentiality, integrity, availability and accountability.A malicious insider can easily obtain passwords, cryptographic keys and files, causing various types of fraud, damage or theft of information and misuse of IT resources.

Another significant proposal, which got McIlroy's attention, was how to drop. The goal was to get the ball back in play quickly. Modern rules would more easily identify where to drop, and players would only have to hold the ball above the ground without it touching anything. The recommendation is at least 1 inch above the ground or grass. Currently, players have to stand upright and hold the ball at shoulder height and arm's length from their bodies.

OSAKA – Osaka Gov. Ichiro Matsui said Tuesday the prefecture relaxed regulations regarding the approval system for opening schools after nationalist private kindergarten operator Moritomo Gakuen requested it, but denied the company influenced the local government's decision. "Compared to other Kansai area prefectures, the hurdles (to run private schools) in Osaka were quite high," Matsui said, adding the reason for the decision was to attract more schools. In April 2012, a few months after Matsui became Osaka's governor, the prefecture relaxed regulations. Nearly six months earlier in September 2011, Moritomo Gakuen head Yasunori Kagoike, who wanted to build an elementary school despite financial difficulties that might have disqualified it from getting prefectural approval, asked the Osaka to ease the rules. Moritomo Gakuen has been under fire recently following revelations of a questionable land deal and for distributing anti-Chinese and anti-Korean literature at its kindergarten.

Artificial intelligence came alive in the '80s with many startups, governments, and large enterprises deploying new systems that executed tasks typically performed by human experts. These were largely rule-based systems that encoded behaviors in rules instead of using the strict procedural logic of traditional programming languages. Then, as memory became more affordable, systems were able to handle much more computationally intense tasks, such as machine learning, planning and scheduling, and natural language understanding. Now in the age of big data, many believe AI has completely changed the tech landscape, but in some ways, as the Talking Heads song goes, it's the "same as it ever was." What remains the same are the core elements of an intelligent application.

Can Machine Learning Take on Online Trolls? Google is betting on machine learning to make the fight against online toxic comments easier. Rather than adopt a person-led rules-based approach which has failed spectacularly at Facebook when it comes to content: https://goo.gl/aAjZsk You can check out Perspective here: https://goo.gl/GXK9dp

The shape-shifting, artificial intelligence (AI)-powered cars seen in futuristic films aren't appearing anytime soon but AI technology certainly exists today in the auto market and will be increasingly visible in the future. Industry observers are saying that AI and machine learning have reached a tipping point and will cause enormous advances through the next few years in many markets. In the automotive sector, these technologies will be transformative. Analysis firm IHS Markit predicted that the installation rate of AI-based systems in new vehicles would rise by 109% in 2025, compared to a modest 8% adoption rate in 2015. In February 2017, Ford paid $1 billion for artificial intelligence start-up Argo AI.

AI in Production – AI is only used by banks in production in a few key use cases such as high-frequency trading, fraud detection and credit scoring. In 2016 many machine learning R&D projects started across other business functions. In 2017 banks will move from testing machine learning models to putting models into production to make a real impact on business KPIs. Open-Source AI Platforms – Leading on from the last point, banks will have to consider if the best strategy for operationalizing models is to use a major cloud vendor, proprietary tech, open-source tech or in-house build. I think the winning combination is an open-source core machine learning platform supported by in-house R&D higher up the stack, and cloud provider focused mostly on the lower level compute tasks.

Parascript has introduced a data location, extraction and verification software solution that deploys template-less, neural network-based document extraction. Parascript says it has'productised' it's machine learning platform to support custom-developed recognition projects with much quicker turnaround than traditional rules-based approaches. The result is significantly faster production with more reliable and refined results. "Machine learning offers a whole new set of opportunities for organisations across many industries to more precisely streamline their operations and deliver rapid, accurate data to their clients," said Greg Council, Vice President of Marketing and Product Management. Traditional recognition and capture solutions often successfully use business rules to process information.

Republican Senator Jeff Flake of Arizona revealed on Wednesday that he intends to introduce a resolution to roll back privacy rules that restrict what internet service providers can do with customer data, according to a report from Politico. Flake said he intended to eliminate the Broadband Consumer Privacy Rules by using the Congressional Review Act, which allows Congress to undo rules set by federal agencies with a simple majority vote. The rules that Flake is taking aim at were first passed by the FCC in October 2016 and were aimed at giving consumers more control over their data by requiring internet service providers to ask for permission before using sensitive information. "We like to say it makes [consumers] the king or queen of their information," Dallas Harris, a policy fellow at open internet advocacy group Public Knowledge, told International Business Times. "The way the order does that is by saying, 'Okay internet service provider, if you would like to use sensitive information, you have to ask your consumers first.' The order defines sensitive information as information regarding a user's finances, health, information from children, precise geolocation data, web browsing history, and app usage history. It also includes any unencrypted message content that may be accessible to the service provider. Information deemed to be non-sensitive can be collected by default requires an option to opt-out. Internet service providers oppose the rules and lobbied for the FCC to undo them --a very real possibility under the leadership of Ajit Pai, who was appointed to the head of the FCC by President Donald Trump. Commissioner Pai opposed the rules when they were passed last year, arguing at the time, "if the FCC truly believes that these new rules are necessary to protect consumer privacy, then the government now must move forward to ensure uniform regulation of all companies in the Internet ecosystem at the new baseline the FCC has set." Pai's argument is essentially that if the FCC wants to make handing over consumer data require an opt-in for ISPs, it should for edge providers like Facebook and Google as well. It's unlikely Pai would extend the rules as he suggested, but he could modify them. "The agency is free to change its mind" on the ruling, Harris explained, "It just can't do so in an arbitrary and capricious manner...they can't just willy-nilly with no reason decide to rescind them." Doing so would require opening the rules up to public comment and would require the agency to change the rules based on new facts. Pai and the FCC also have the option to make changes by reviewing petitions for reconsideration, which allows the commission to change a rule without opening the process up to public comment. Both options are preferable to using the Congressional Review Act, which Harris calls "entirely too blunt of an instrument" to handle such a rule. "There really is no benefit to using the CRA here.

Even if they're not quite sure what it is or whether they are already using it. That was the big takeaway from a December study by B2B targeting platform Demandbase, which itself has implemented AI in its platform. And that's a key conclusion from another recent study, conducted by Forrester Consulting for Adgorithms, which has created an AI-driven marketing platform called Albert. The study, "AI: The Next Generation of Marketing," conducted in-depth surveys with 150 marketing executives. "Forrester found that confusion and misunderstanding of AI-driven marketing is quite prevalent today. Indeed, many marketers in our study have a very narrow view of current advanced contextual marketing capabilities, much less around AI-driven marketing tools that can make these contextual programs considerably more efficient and effective, while reducing the complexities marketers face in executing and orchestrating digital interactions. However, when the benefits of AI-driven marketing were proposed to them, they were overwhelmingly likely to find these benefits appealing."