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Blockchain vs

Blockchain vs

By Trevor Curwin | December 8, 2018 with 0 Comments

What will 2018 bring ter the world of edge technologies? Will wij ultimately get that blockchain isn’t (just) Bitcoin? Will self-driving cars get a conscience? Teradata’s team weighs te.

From blockchain to natural language programming, spil a fresh year dawns, the smartest people across the enterprise world are dusting off the crystal ball and looking into next year. Wij spoke with the team from Teradata to get their insights into what wij can expect ter the next year, from self-driving car ethics, to bitcoin vs. blockhain confusion, to telecoms’ IoT efforts.

Blockchain will be the most overused and misunderstood term te 2018: Spil much spil the term Bitcoin is bantered about, most people don’t have a clue what it truly is, or understand the role of a blockchain ter the secure tracking/ ledgering of bitcoin transactions. But, a blockchain can be used for so much more than this. This conversation will proceed and there will be a lotsbestemming of hype about blockchains ter 2018. Unluckily, many people will only associate blockchain with bitcoin and will proceed to be generally confused. (From Atif Kureishy, Global VP, Emerging Practices, Artificial Intelligence &, Deep Learning, Teradata)

Self-driving cars will kill people, but the trolley problem is a dangerous distraction: Surveys that ask people how a self-driving car should behave te no-win situations overlook what people would actually do ter those cases. The only real test is to waterput people te simulations and see what they actually do when there is no time to think about it – most people will funk and fail to make any logical decision. Self-driving cars will be drastically safer than human-driven ones. Te 2018, wij will be focusing on the relative safety of self-driven vehicles overheen human-driven ones – and on the capability to avoid the no-win situations. (From Todd Walter, Chief Technologist – Americas, Teradata)

GDPR will excursion up businesses: Despite all the talk, most organizations will not be ready when GDPR goes into effect at the end of May ter 2018. EU authorities will face the dilemma of how hard to enforce the regulations with very few organizations ter compliance. (From Stephen Brobst, CTO, Teradata)

Organizations stir to justify machine learning findings: Organizations will turn more and more to visualization devices to not only generate insights from analytics but also to demonstrate that the machine learning algorithms are actually doing what they are expected to do and are not producing discriminatory or unjustified results. Such contraptions and technologies will become handy ter case of protestations by the gegevens subjects or investigations by regulators. (From Sundara Raman, Senior Telecom Industry Consultant, Teradata)

2018 is the year of multi-cloud portability: Te 2018, most companies will use two or more IaaS cloud suppliers for myriad reasons – costs, risk, features, and impulsive departmental buyers. By year-end, fresh programming instruments and disciplines will emerge to minimize cloud lock-in and maximize application portability. (From Dan Graham, Director of Marketing – IoT, Teradata)

Graphical interfaces yield to Natural Language Processing: NLP open source, Siri, Alexa, Google, and Cortana will drive fresh web and mobile phone application interfaces. By late 2018, 20% of large corporations will have NLP projects to substitute aging customer facing web pages. (From Dan Graham, Director of Marketing – IoT, Teradata)

Telecom providers will opoffering end-to-end service through IoT: Due to the nature of the business, telecom providers have greater plasticity and agility te creating service products at different price points that will appeal to the target market segment. For this reason, telecom service providers are best placed to take advantage of IoT beginning ter 2018 by suggesting end to end service (i.e. communication, sensor gegevens collection/management te the cloud, Big Gegevens analytics) to vertical industries such spil health, mining, automotive and electrical play distribution. (From Sundara Raman, Senior Telecom Industry Consultant, Teradata)

While the hype dies down, AI infrastructure improves dramatically: There will be a “backlash” on “AI Hype” te 2018, and a more balanced treatment of deep learning and shallow learning application to business opportunities will emerge. At the same time, investments will proceed. A 2018 survey of 260 large enterprises identified a “lack of IT infrastructure,” surpassing all other headwinds such spil little or no access to talent, lack of budget, and powerless or unknown business cases spil a significant barrier to realizing benefits from AI. Companies will react ter 2018 with enterprise-grade AI product and supporting offerings that overcome the growing aches associated with AI adoption. (From Chad Meley, Vice Voorzitter of Marketing, Teradata)


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