Digital Transformation


Why digital transformation is now on the CEO's shoulders

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Big data, the Internet of Things, and artificial intelligence hold such disruptive power that they have inverted the dynamics of technology leadership. When science and technology meet social and economic systems, you tend to see something akin to what the late Stephen Jay Gould called "punctuated equilibrium" in his description of evolutionary biology. Something that has been stable for a long period is suddenly disrupted radically--and then settles into a new equilibrium.1 1.See Stephen Jay Gould, Punctuated Equilibrium, Cambridge, MA: Harvard University Press, 2007. Gould pointed out that fossil records show that species change does not advance gradually but often massively and disruptively. After the mass extinctions that have occurred several times across evolutionary eras, a minority of species survived and the voids in the ecosystem rapidly filled with massive speciation.


Big Data and Analytics – What's Ahead? @ThingsExpo #IoT #M2M #BigData

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Recently I read somewhere this statement – As we end 2017 and look ahead to 2018, topics that are top of mind for data professionals are the growing range of data management mandates, including the EU's new General Data Protection Regulation that is directed at personal data and privacy, the growing role of artificial intelligence (AI) and machine learning in enterprise applications, the need for better security in light of the onslaught of hacking cases, and the ability to leverage the expanding Internet of Things. In the area of big data, a combination of new and long-established technologies are being put to work. Hadoop and Spark are expanding their roles within organizations. NoSQL and NewSQL databases bring their own unique attributes to the enterprise, while in-memory capabilities (such as Redis) are increasingly being utilized to deliver insights to decision makers faster. And through it all, tried-and-true relational databases continue to support many of the most critical enterprise data environments.


Welcome to the data-driven machine: Digital transformation in the construction industry

ZDNet

The Internet of Things is creating serious new security risks. We examine the possibilities and the dangers. Building and operating the machines that make infrastructure and construction works such as roads, buildings and bridges possible is something that seldom gets mainstream attention. These machines may not seem as shiny and cool as cars for example, but in many ways they are not just more important, but more advanced as well. It's not just that without them none of the material to build everything the industry builds would not be available, transportation would be a major issue, and everything we come to take for granted would be disrupted.


Put AI to Work for Your Brand Right Now @CloudExpo #AI #ML #Cloud

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Earlier this week, Google's DeepMind team published a paper describing AlphaZero, a new generic reinforcement learning algorithm that has done some remarkable things. First, in about eight hours, it taught itself to beat AlphaGo, a human-trained AI system that beat the best human Go players in the world. It also taught itself chess and Shogi (known as Japanese chess) in about four hours and beat the best human-trained AI systems at those games. How did AlphaZero teach itself? The rules of the games were programmed into the system.


[slides] Continuous Deep Learning for Visual Systems @CloudExpo @CalSci #AI #ML #DL #Cloud

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In his session at 21st Cloud Expo, James Henry, Co-CEO/CTO of Calgary Scientific Inc., introduced you to the challenges, solutions and benefits of training AI systems to solve visual problems with an emphasis on improving AIs with continuous training in the field. He explored applications in several industries and discuss technologies that allow the deployment of advanced visualization solutions to the cloud. Speaker Bio James Henry is Co-CEO/CTO of Calgary Scientific Inc., a company specializing in bringing real time interactive software to cloud and mobile platforms. He has 25 years of experience leading software teams in many industries including the oil and gas, healthcare, telecommunication, geolocation, construction and simulation industries. His current interest is in enabling people, data and AIs to interact in real time to solve complex problems.


Experts Predict How AI Will Impact Us in 2018

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We keep hammering away at this point here in eWEEK, and we'll do it again today: We are at an important convergence of technology here in this, the first quadrant of the 21st century. It's all here now: High connectivity bandwidths, super high-quality code and code libraries, unprecedentedly powerful processors that use less power than previous models, unlimited storage capacities, ingeniously designed mobile and stationary connected devices, a zillion types of cloud services--we could go on. We're already seeing it: the introduction of more functionality through artificial intelligence. We're seeing more AI in more apps in more places than we've ever seen before: wearables, cars, productivity apps, military, health care, home entertainment--the list is lengthy. At 2018 knocks on our doors, we present some ideas from various industry executives about what impact they believe AI and machine learning will be making on the IT business and our lives in general.


Four Ways Machine Learning Will Improve Big Data - Dell Technologies

@machinelearnbot

Previously, I reported on Dell Technologies' IoT strategy announcement," which focused a lot on the "Deluge of Big Data" created by the Internet of Things (IoT) and how to manage it intelligently. Judging by their insights, I'd say we're about to see a huge rise in the use of machine learning to manage the mass amounts of data we're creating--and will continue to create--in coming years. We already know that 90 percent of the world's data has been created in the last few years alone. But the IoT is going to exponentially increase that data creation as tens of billions of devices activate and connect online. To deal with the massive quantities of IoT data, companies will need to turn to machine learning.


[video] AI and #DigitalTransformation with @Ayehu_Eyeshare @CloudExpo #ArtificialIntelligence

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"Digital transformation - what we knew about it in the past has been redefined. Automation is going to play such a huge role in that because the culture, the technology, and the business operations are being shifted now," stated Brian Boeggeman, VP of Alliances & Partnerships at Ayehu, in this SYS-CON.tv CloudExpo DXWorldEXPO have announced the conference tracks for Cloud Expo 2018, introducing DXWorldEXPO. DXWordEXPO, colocated with Cloud Expo will be held June 5-7, 2018, at the Javits Center in New York City, and November 6-8, 2018, at the Santa Clara Convention Center, Santa Clara, CA. Digital Transformation (DX) is a major focus with the introduction of DXWorld Expo within the program.


2018: Machine learning will become the most important technology since the internet Networks Asia

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Machine learning will be a defining technology of 2018, doing more to change how we live and work than any technology since the internet. To understand why, we first need to get past sensational headlines about robots'stealing our jobs'. Innovation and the use of tools to make life easier have been a marker of progress throughout history, through agricultural and industrial revolutions. We are now in a data revolution and as we progress, so some of the roles people do will change, but progress has consistently brought the creation of new jobs, new business models and whole new industries. Far from making us obsolete, machine learning will augment humanity and make us more effective.


Conversational AI: The Pathway to Customer Centricity Engage Hub

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At the start of 2017, many businesses embarked on digital transformation initiatives. These had the noble goals of implementing a customer-centric approach, streamlining internal operations and, ultimately, boosting revenue. But as we move towards 2018, how many have actually accomplished these aspirations? And this is completely understandable because there are huge challenges involved in digital transformation – lack of budget and a clear roadmap, a mixed pot of stakeholders and internal silos, to name a few (read this blog on overcoming barriers to digital transformation for more). But there is good news – technological advancements in commercial artificial intelligence (AI) offer you ways to overcome transformation challenges while saving valuable time and resource.