Digitale Business Transformation
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Newest Machine Learning Trends

Newest Machine Learning Trends | Digitale Business Transformation | Scoop.it

In the research areas, Machine Learning is steadily moving away from abstractions and engaging more in business problem solving with support from AI and Deep Learning. In What Is the Future of Machine Learning, Forbes predicts the theoretical research in ML will gradually pave the way for business problem solving. With Big Data making its way back to mainstream business activities, now smart (ML) algorithms can simply use massive loads of both static and dynamic data to continuously learn and improve for enhanced performance.

 

 If the threat of intelligent machines taking over Data Scientists is really as real as it is made out to be, then 2017 is probably the year when the global Data Science community should take a new look at the capabilities of so-called “smart machines.” The repeated failure of autonomous cars has made one point clear – that even learning machines cannot surpass the natural thinking faculties bestowed by nature on human beings. If autonomous or self-guided machines have to be useful to human society, then the current Artificial Intelligence and Machine Learning research should focus on acknowledging the limits of machine power and assign tasks that are suitable for the machines and include more human interventions at necessary checkpoints to avert disasters. Repetitive, routine tasks can be well handled by machines, but any out-of-the-ordinary situations will still require human intervention.

 

2017 Machine Learning and Application Development Trends

Gartner’s Top 10 Technology Trends for 2017  predicts that the combined AI and advanced ML practice that ignited about four years ago and since continued unscathed, will dominate Artificial Intelligence application development in 2017. This lethal combination will deliver more systems that “understand, learn, predict, adapt and potentially operate autonomously. “ Cheap hardware, cheap memory, cheap storage technologies, more processing power, superior algorithms, and massive data streams will all contribute to the success of ML-powered AI applications.  There will be steady rise in Ml-powered AI application in industry sectors like preventive healthcare, banking, finance, and media. For businesses that means more automated functions and fewer human checkpoints.  2017 Predictions from Forrester suggests that the Artificial Intelligence and Machine Learning Cloud will increasingly feed on IoT data as sensors and smart apps take over every facet of our daily lives.

 

Democratization of Machine Learning in the Cloud          

Democratization of AI and ML through Cloud technologies, open standards, and algorithm economy will continue. The growing trend of deploying prebuilt ML algorithms to enable Self-Service Business Intelligence and Analytics is a positive step towards democratization of ML. In Google Says Machine Learning is the Future, the author champions the democratization of ML through idea sharing. A case in point is Google’s Tensor Flow, which has championed the need for open standards in Machine Learning.  This article claims that almost anyone with a laptop and an Internet connection can dare to be a Machine Learning expert today provided they have the right mind set. The provisioning of Cloud-based IT services was already a good step to make advanced Data Science a mainstream activity, and now with Cloud and packaged algorithms, mid-sized ad smaller businesses will have access to Self-Service BI and Analytics, which was till now only a dream. Also, the mainstream business users will gradually take an active role in data-centric business systems. Machine Learning Trends – Future AI  claims that more enterprises in 2017 will capitalize on the Machine Learning Cloud and do their part to lobby for democratized data technologies.

 

Platform Wars will Peak in 2017

The platform war between IBM, Microsoft, Google, and Facebook to be the leader in ML developments will peak in 2017.  Where Machine Learning Is Headed, predicts that 2017 will experience a tremendous growth of smart apps, digital assistants, and main-stream use of Artificial Intelligence. Although many ML-enabled AI systems have turned into success stories, the self driving cars may die a premature death.

 

Humans will Make Peace with Machines

 Since 2012 the global business community has witnessed a meteoric rise and widespread proliferation of data technologies. Finally, humans will realize that it is time to stop fearing the machines and begin working with them. The InfoWorld article titled Application Development, Docker, Machine Learning Are Top Tech Trends for 2017 asserts humans and machines will work with each other, not against each other. In this context, readers should review the DATAVERSITY® article The Future of Machine Learning: Trends, Observations, and Forecasts, where the readers are reminded that as businesses develop a strong dependence on pre-built ML algorithms for Advanced Analytics, the need for Data Scientists or large IT departments may diminish.

 

Demand-Supply Gaps in Data Science and Machine Learning will Rise

The business world is steadily heading toward the prophetic 2018, when according to McKinsey the first void in data technology expertise will be felt in US and then gradually in the rest of the world. The demand-supply gap in Data Science and Machine Learning skills will continue to rise till academic programs and industry workshops begin to produce a ready workforce. In response to this sharp rise in demand-supply gap, more enterprises and academic institutions will collaborate to train future Data Scientists and ML experts. This kind of training will compete with the traditional Data Science classroom, and will focus more on practical skills rather than on theoretical knowledge. KDNuggets will continue to challenge the curious mind by publishing articles like 10 Algorithms that Machine Learning Engineers Should Know .  2017 will witness a steady rise in contributions from KDNugget and Kaggle in providing alternative training to future Data Scientists and Machine Learning experts through practical skill development.

 

Algorithm Economy will take Center Stage

Over the next year or two, businesses will be using canned algorithms for all data-centric activities like BI, Predictive Analytics, and CRM. The algorithm economy, which Forbes mentions, will usher in a marketplace where all data companies will compete for a space. In 2017, global businesses will engage in Self-Service BI, and experience the growth of algorithmic business solutions, and ML in the Cloud.  So far as algorithm-driven business decision making is concerned, 2017 may actually see two distinct types of algorithm economies. On one hand, average businesses will utilize canned algorithmic models for their operational and customer-facing functions. On the other hand, proprietary ML algorithms will become a market differentiator among large, competing enterprises. 


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Top 10 Most Viewed 360° Videos of 2016

Top 10 Most Viewed 360° Videos of 2016 | Digitale Business Transformation | Scoop.it
“ Thursday this week will mark 500 days since the YouTube team officially released global support for 360° video content (statement here). Following that announcement, content creators from all over the world were encouraged to test the limit and try out this strange but promising new way of shooting film, and stitching it together again, surgically placing the viewer direcly into the film. Riding …”
Via Clifford Dive, Timo Ilomäki
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Clifford Dive's curator insight, August 4, 2016 7:29 AM
I guess with all content it's as much about discovery as the content itself - but this makes interesting reading as the cinematic VR world tries to work out what it's for.
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2016 Internet Trends Report

The 2016 edition of Mary Meeker's annual Internet Trends report covers today's Internet growth and an in-depth look at the following: • Global Internet us…
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This is HoloFlex: A Flexible Holographic Smartphone

This is HoloFlex: A Flexible Holographic Smartphone | Digitale Business Transformation | Scoop.it
Though this new display is still in its infancy, the Holoflex signals a new era in smartphone displays and capabilities. It's bendable and holographic.
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Die Job-Revolution: Daimler geht einen Schritt, der unsere Arbeitswelt für immer verändern soll

Die Job-Revolution: Daimler geht einen Schritt, der unsere Arbeitswelt für immer verändern soll | Digitale Business Transformation | Scoop.it
Vor allem junge Arbeitnehmer verlangen nach flexiblen Arbeitszeiten
Der Autohersteller Daimler setzt sich nun an die Spitze der Bewegung, die sich für den Arbeitsmarkt der Zukunft fit machen wol
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5 aktuelle Studien zur Digitalen Transformation: Raupe oder Schmetterling? – Ein Status Quo der deutschen Wirtschaft

5 aktuelle Studien zur Digitalen Transformation: Raupe oder Schmetterling? – Ein Status Quo der deutschen Wirtschaft | Digitale Business Transformation | Scoop.it
Wir stellen euch 5 Studien zur Digitalen Transformationen deutscher Unternehmen vor, u. a. unsere aktuelle Studie: den TRANSFORMATIONSWERK Report 2016. 
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Borges’ Map: Navigating a World of Digital Disruption

Borges’ Map: Navigating a World of Digital Disruption | Digitale Business Transformation | Scoop.it
Three distinct waves of digital disruption have transformed information economics—and are challenging traditional notions of economies of scale. The new strategies this shift enables have the power to break the compromise between efficiency and innovation and to reshape entire industries.
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Predictions for Innovation Trends in 2016

Predictions for Innovation Trends in 2016 | Digitale Business Transformation | Scoop.it
For the past few years, the innovation rate in the global insurance industry has run at peak levels, in good part because of digitization, which continues to be a pervasive influence—if not as disruptive as early projections. Initial expectations of a departure from traditional distribution channels turned out not to be the case. Clients preferred [...]
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Mittelstand: Digitalisierung als größte Herausforderung | Wirtschaft | DW.COM | 05.02.2016

Mittelstand: Digitalisierung als größte Herausforderung | Wirtschaft | DW.COM | 05.02.2016 | Digitale Business Transformation | Scoop.it
Der Mittelstand ist das Rückgrat der deutschen Wirtschaft. Den Unternehmen jenseits der großen Konzerne geht es gut, sie wollen investieren, weiter ausbilden und einstellen. Nur ein Thema sorgt für Unruhe.
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What Managers Should Know About Data Privacy and the ‘Internet of Things’ | CEB Blogs

What Managers Should Know About Data Privacy and the ‘Internet of Things’ | CEB Blogs | Digitale Business Transformation | Scoop.it
By the year 2020, experts predict, there will be more than 20 billion connected devices. This internet of things offers a great opportunity for firms and customers alike, but there are a lot of legal and ethical issues to iron out.
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Start

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Torsten Fell's insight:

Change aktiv begleiten als Digital Learning Transformation Experte

Am Anfang steht der Mindset. Die Einsicht, dass sich Märkte und Geschäftsmodelle in der digitalen Welt radikal ändern. Diese Veränderungen haben auch direkten Einfluss auf den Bereich HR und Leadership Development. Die digitalen Möglichkeiten verändern den  Anspruch an Wissen und Lernmöglichkeiten.

Moderne Lernformen, neue technische Möglichkeiten, neue methodische/didaktische Ansätze und ein komplett neues Verständnis, zum Beispiel in einem 70:20:10 Rahmen verlangen ein profundes Wissen. Dies ist eine echte Herausforderung.

Wir bieten Ihnen das. Kompakt und Praxisnah. in 3 Tagen zum Professional oder in 6 Tagen zum Experten. Zertifiziert von der New Charter University in USA. Werden Sie zum

„Zertifizierten Digital Learning Transformation
Professional oder Expert“


Wir,  Andreas Dittrich und Torsten Fell haben jeweils über 15 Jahre Praxiserfahrung. 2 gestandene Profis: Botschafter für „Digital Learning“.

Wichtig: Dieser Kurs ist komplett herstellerunabhängig. Wir machen Sie fit, dass Sie intern auf aktuelle Anforderungen Ihrer internen Auftraggebern /internen Stakeholder  sowie auf Augenhöhe mit den Anbietern kompetent agieren können. Vom Business Partner zum Business Beschleuniger.

Sichern Sie sich einen der exklusiven Teilnehmerplätze. Wir machen Sie fit - irgendwo auf der Welt: Basel | Berlin | New York | Kuala Lumpur und natürlich INHOUSE

Erleben sie selbst was Digitale Learning Transformation heisst und werden sie Teil des Learning Environment Dittrich&Fell.

http://www.dittrichandfell.com

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In a Driverless Future, What Happens to Today's Drivers? - Singularity HUB

In a Driverless Future, What Happens to Today's Drivers? - Singularity HUB | Digitale Business Transformation | Scoop.it
Self-driving cars are becoming a very real technology. The latest Tesla car has an autopilot feature. The CEO of Uber has stated that he will buy every self-driving car Tesla... read more
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The Future of Augmented Reality: Limitations, Possibilities and Hopes — Emerging Education Technologies

The Future of Augmented Reality: Limitations, Possibilities and Hopes — Emerging Education Technologies | Digitale Business Transformation | Scoop.it
AR is an Emerging Technology Worth Paying Attention to Technology is endlessly evolving, and the introduction of brand new devices sometimes act as a touchstone to the arrival of a completely new technological paradigm.
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Skills For Future Success in a Disruptive World of Work

Skills For Future Success in a Disruptive World of Work | Digitale Business Transformation | Scoop.it
My dad retired as a Library Science professional soon after which the profession of Library management was transformed by digital forces. With the rise of digital content, we now needed different kind of librarians who could help us walk through this maze of information and find what we need, not
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How technology will change the future of work

How technology will change the future of work | Digitale Business Transformation | Scoop.it
How many of us can say, with certainty, what jobs we would choose if we were kids today?
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LEAD digital: So bindet die Deutsche Bahn VR-Videos ins Recruiting ein

LEAD digital: So bindet die Deutsche Bahn VR-Videos ins Recruiting ein | Digitale Business Transformation | Scoop.it
Fürs Branding haben sich Unternehmen wie Expedia und Samsung schon nette Beispiele für 360-Grad-Virtual-Reality-Videos ausgedacht. Aber wie sieht es beim Recruiting aus? Einer, der das bereit
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Studie zu Digital Leadership: Digitale Transformation im Management noch nicht angekommen

Studie zu Digital Leadership: Digitale Transformation im Management noch nicht angekommen | Digitale Business Transformation | Scoop.it
Die Verantwortlichen in Deutschlands Unternehmen sind sich offenbar nicht sicher, was die Digitalisierung für sie bedeutet. Nur die Hälfte von ihnen glaubt, die Digitale Transformation habe Auswirkungen auf das eigene Haus, nur vier von zehn Entscheidern setzen sich beruflich mit neuen Technologien auseinander. Trotzdem behaupten 60 Prozent, sie hätten ausgeprägte digitale Skills. Eine eklatante Selbstüberschätzung?
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ChatDichSicher bietet Versicherungen via Facebook - deutsche-startups.de - News zu Startups, Venture Capital und digitalen Jobs

ChatDichSicher bietet Versicherungen via Facebook - deutsche-startups.de - News zu Startups, Venture Capital und digitalen Jobs | Digitale Business Transformation | Scoop.it
Auf dem Start-up-Radar haben wir heute ChatDichSicher, ein InsurTech-Start-up, das Versicherungen via Chat bietet. Im Start-up-Radar stellt deutsche-startups.de junge Digitalfirmen vor, die demnächst an den Start gehen. Das Start-up-Radar ist somit ein kleiner Blick in die Zukunft.
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Digitalisierung der Autoindustrie: Vom „Blechbieger“ zum „Gridmaster“ | Digital Marketing Blog

Digitalisierung der Autoindustrie: Vom „Blechbieger“ zum „Gridmaster“ | Digital Marketing Blog | Digitale Business Transformation | Scoop.it
Die Digitalisierung der Autoindustrie schreitet nicht nur schneller voran als gedacht: Die große Mehrheit der Auto-Manager sieht ihre Branche an der Spitze.
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Digital Transformation requires a new way of working | Consultancy.uk

Digital Transformation requires a new way of working | Consultancy.uk | Digitale Business Transformation | Scoop.it
It is evident that today’s energy companies will have to turn their businesses towards a data-driven business to survive.
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11 experts at Davos on the future of work

11 experts at Davos on the future of work | Digitale Business Transformation | Scoop.it
The future of work has been a hot topic for discussion in Davos. Here’s our line-up of what the experts are saying about it.
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The Internet of Things: Why Success Lies in Services - Knowledge@Wharton

The Internet of Things: Why Success Lies in Services - Knowledge@Wharton | Digitale Business Transformation | Scoop.it
Businesses are adopting new business models as a result of Internet of Things-enabled devices in cyber-physical systems.
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Internet Of Things (IoT) Predictions From Forrester, Machina Research, WEF, Gartner, IDC - Forbes

Internet Of Things (IoT) Predictions From Forrester, Machina Research, WEF, Gartner, IDC - Forbes | Digitale Business Transformation | Scoop.it

 

Research firms predict the future of the Internet of Things

 

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Export | Switzerland Global Enterprise, S-GE

Export | Switzerland Global Enterprise, S-GE | Digitale Business Transformation | Scoop.it
The definitions of Industry 4.0 are diverse. For some it is a revolution; for others it is a logical result of Internet-based digitization and networking.
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