This Week In Digital – Week 06, 2019

Safari threatens web-based AR/VR, Amazon a step towards facial recognition, and Facebook eyes Blockchain. In the latest update of This Week In Digital, read all the interesting things that have happened in the past week.

Apple’s new Safari privacy settings threaten web-based VR and AR – Jon Porter, February 5, 2019.

Apple’s Safari browser will soon stop websites from using your phone’s motion data by default, potentially breaking web-based AR and VRexperiences that rely on this functionality, reports DigiDay. With iOS 12.2, the company is introducing a new privacy setting called “Motion and Orientation Access” into version 12.1 of its browser, which will be disabled by default. Apple did not immediately respond to a request for comment, but DigiDay speculates that a report from Wired last year is to blame for the changes. The report raised concerns that thousands of sites used scripts that pull data from a phone’s motion-sensors without the user’s consent. Many of these sites then used this data for tracking, analytics-gathering, and audience recognition. Multiple VR and AR developers spoken to by DigiDay said that they expected the changes to break aspects of their sites’ functionality. It could affect web-based experiences such as promotional sites for Sony’s First Man, Spider-Man: Into the Spider-Verse, and the “Samsung Within” site, for example.

Deloitte Completes Joint Pilot Digitizing Supply Chain Management on Multiple DLTs – Helen Parts, February 5, 2019.

Big Four audit and consulting firm Deloitte has successfully completed a joint pilot for digitizing the supply chain on multiple blockchain networks, according to an official press releasepublished on Feb. 1. Within the new project, Deloitte has collaborated with the Hong Kong Stock Exchange-listed blockchain firm Kerry Logistics and CargoSmart, a Hong Kong-based company specializing in supply chain management. Completed in late 2018, the platform’s Proof-of-Concept (PoC) is reportedly interoperable across different blockchains and cloud networks commonly used in global trading and finance, the press release says. By joining data on multiple distributed ledger technology (DLT) chains, the platform is designed to boost efficiency for the global shipping industry by making the exchange of digitized documents more transparent.

6 Ways to Implement AR/VR into Your Business Today – Stephen Moyers, February 6, 2019.

Augmented reality (AR) and virtual reality (VR) crazes didn’t die out with Pokémon GO. This dynamic-duo is alive, well, and benefiting businesses. AR and VR technologies are living up to and surpassing expectations in terms of creating riveting user experiences. Using this technology has a unique way of increasing brand engagement, and generating new ways to interact with services and products. If your company hasn’t yet experimented with AR or VR technologies, explore the following innovations. The answer to improving your numbers this year may be to implement AR/VR into your business today.

Drones Pose A Unique Big Data Challenge For Business Users – Colin Snow, February 6, 2019.

The public might consider them nuisances, but in the commercial market, drones are valuable data collection devices. Their primary task is to capture, store, and transmit data. So as IT departments consider integrating more drone data into existing enterprise business processes, they face new data governance requirements. As drone technology matures, it is important for companies to know what it means for their information technology and software. Drones present both a big data and an IoT challenge Up to now, the focus of commercial drone use has been on accurate data collection and visualization—not IT process integration. To be fair, applications have been developed to support verticals like agriculture, construction, energy, mining, and telecom with cloud-based services, but these applications mostly produce and serve up maps, e.g., location maps for managing and servicing company infrastructure and other assets.

Big Data Goes Big – Rohit Kulkarni, February 7, 2019.

2018 was a great year for IPOs, and the momentum is likely to continue throughout 2019 despite the government shutdown in January. As companies wait longer to go public, investors are increasingly demanding a viable path to profitability. This could bode well for deca-unicorn Palantir because the data analytics firm, which is reportedly planning an IPO this year, could become profitable over the next 12 months, according to CEO Alex Karp. Palantir also benefits from positive growth and valuation trends in the Business Intelligence (BI) and data analytics industry. We recently spoke to over 300 IT executives and decision makers to identify changes in their preferences and outlook on Business Intelligence (BI) and data analytics tools over the past year. Companies have consistently told us their success increasingly depends on analytics and more than 90 percent said they plan to increase spending on BI tools according to CEO Alex Karp.

The Future of AI and Supply Chain Management – PJ Jakovljevic, February 7, 2019.

In a world of big data and high customer expectations, the future of the supply chain rests in the predictive and prescriptive power of artificial intelligence (AI) and machine learning (ML). This kind of technology application is not without its share of obstacles, risks, and challenges to overcome, but those organizations that do that properly will gain real-time, beyond-human-level insight, and set the standard for supply chain management in the future. A major challenge in the actionable analysis of a company’s vast supply chain data is the integration of potentially numerous legacy data sources into one holistic, unified picture from which decisions can be made. Fortunately, the data models employed by major enterprise resource planning players do not tend to shift significantly over time, making consistent connections with third-party cognitive analysis solutions easier to draw. Modern cloud-first AI platforms tend to operate on their own layer above an organization’s existing data sources. In addition, they’re getting better and better at collecting, indexing, and harmonizing information without impacting the performance of the underlying systems from which they draw this information. Furthermore, today’s open source AI algorithms (sometimes referred to as “skills”) are robust enough to play a significant role in specific, calculative areas such as demand forecasting.

Amazon weighs in on potential ‘legislative framework’ for facial recognition – Kyle Wiggers , February 7, 2019.

Amazon supports the creation of a “legislative framework” covering facial recognition technology. That’s according to Michael Punke, vice president of global public policy at Amazon’s AWS division, who penned a blog post this week outlining proposed guidelines for the “responsible use” of face-classifying software by private, commercial, and government entities. Some of the guidelines of which there are six seem based on common sense. For instance, Amazon proposes that facial recognition technology comply with “all laws,” including laws that protect civil rights, and that law enforcement agencies employing facial recognition be “transparent” about their use and detail privacy “safeguards” in regular reports. It also recommends that in instances when law enforcement uses AI to identify people of interest in an investigation the confidence threshold the minimum precision that a system’s predictions must achieve in order to be considered “correct”  be set to 99 percent.

UI + AI: Combine user experience design with machine learning to build smarter products – JARNO M. KOPONEN , February 9, 2019.

Machine intelligence doesn’t automatically lead to smarter user experience if product designers and machine learning experts don’t talk the same language.The language and concepts of machine learning are far from intuitive. And user experience design requires an understanding of how people think and behave, simultaneously taking into account the irrationality of human behavior and the messiness of everyday life. Because of the different skills these two disciplines require, it’s normal to see user experience designers and machine learning experts work in their own separate silos even though they’re building the same product. Often, experts from both fields are not familiar with each other’s methods and tools and so are unable to grasp what can be achieved by combining experience design with machine learning. To break these professional silos, the product team needs to make a steadfast and conscious effort, but how to get started?

Is Facebook Preparing Its Shopping List to Fuel Its Blockchain Dreams? – Nilesh Maurya , February 10, 2019.

Since blockchain became prominent and people start recognizing and realizing its advantage, a lot of mainstream tech companies turned towards this newest tech kid on the block. Facebook too took a lead here but it remained officially silent on most part of its plan with respect to the blockchain. Although there have been several reports of the company hiring and recruiting blockchain developers not many had expected Facebook to take an acquisition route. While the news is still fresh in the minds of people, a tech news website The Information has come out with a report stating that Chainspace is not the only startup Facebook was talking too and its sources say that Facebook may be scouting a few more startups to fuel its blockchain dream.

 

 

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