"We provide IoT solutions. We provide the most compatible solutions for many applications. Our solutions are industry agnostic and also protocol agnostic," explained Richard Han, Head of Sales and Marketing and Engineering at Systena America, in this SYS-CON.tv interview at @ThingsExpo, held June 6-8, 2017, at the Javits Center in New York City, NY.

Any significant business process that can be documented and best practices identified - will be. Any defined process that can be standardized - will be. Standardized processes that can be codified and automated (through robotic software automation), will be - if the volume justifies it. If the process is repeatable across many companies it will be offered as a shared service on a platform in a cloud.

Fast-paced changes in the business landscape demand enterprises to rethink their existing business models and add innovative capabilities keeping in mind the new imperatives. One among them is the focus on Digital transformation. In the retail industry, growth is measured in terms of increased sales and value addition to existing products while keeping customer expectations in mind. This is where a digital focus is important to remain competitive.

We all probably remember the movie (“Jurassic Park”), even if we don’t remember this exact scene: Dr. Malcolm, played by Jeff Goldblum is explaining Chaos Theory to Dr. Ellie Sattler, played by Laura Dern. Dr. Malcolm is explaining how random, seemingly negligible events can disrupt even the most carefully laid out plans. Dr. Ian Malcolm: [after the T-Rex failed to appear for the tour group]. “You see a Tyrannosaur doesn’t follow a set pattern or park schedules, the essence of chaos.”

SYS-CON Events announced today that DXWorldExpo has been named “Global Sponsor” of SYS-CON's 21st International Cloud Expo, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Digital Transformation is the key issue driving the global enterprise IT business. Digital Transformation is most prominent among Global 2000 enterprises and government institutions.

Digital technology innovations and advancements, and our adoption of them, have changed us. We are different consumers, employers and employees. Our expectations have increased. We have become mobile, impatient and demanding. We are global. We demand immediate, accurate and real-time responses. We use our technology not just for reading historic events and news, but also for predicting our future turn while navigating at 60 MPH.

In recent years AI has grown significantly and become a substantial area of business investment. What has changed, and how does this affect you? For a long time, artificial intelligence was pure science fiction, relegated to books, television and movies—and you don’t need us to tell you that we are well past that point today. In the last few years we have seen extremely rapid advancement in a series of technologies that have come together to unlock a wave of AI investment. According to Accenture, 85% of executives plan to invest extensively in AI in the next three years, and in the same tim...

With the wave of personal assistants, such as Siri, Cortana and Google Assistant, and new startups leveraging AI and analytics to build personal companions, it’s becoming clear we are moving toward a new voice-controlled relationship with technology. As we have already seen in the consumer market, it is all but a given that these voice-activation systems will eventually make it into the enterprise environment, as the potential benefits of these systems could be tremendous in simplifying and automating activities. Although it may be a long time before we see the full likenesses of “HAL” from “2...

API Security has finally entered our security zeitgeist. OWASP Top 10 2017 - RC1 recognized API Security as a first class citizen by adding it as number 10, or A-10 on its list of web application vulnerabilities. We believe this is just the start. The attack surface area offered by API is orders or magnitude larger than any other attack surface area. Consider the fact the APIs expose cloud services, internal databases, application and even legacy mainframes over the internet. What could go wrong?

I have had the opportunity to work for and around a good many start-ups during the course of my career. Often the start-up founders would simply define a problem, develop a solution and launch a company. The marketing department would then do their very best to identify the individuals in each target company that experienced the problem and had a budget to fix it. This was always a challenging task, that has become even harder today.

When shopping for a new data processing platform for IoT solutions, many development teams want to be able to test-drive options before making a choice. Yet when evaluating an IoT solution, it’s simply not feasible to do so at scale with physical devices. Building a sensor simulator is the next best choice; however, generating a realistic simulation at very high TPS with ease of configurability is a formidable challenge. When dealing with multiple application or transport protocols, you would be looking at some significant engineering investment. On-demand, serverless computing enables deve...

Internet-of-Things discussions can end up either going down the consumer gadget rabbit hole or focused on the sort of data logging that industrial manufacturers have been doing forever. However, in fact, companies today are already using IoT data both to optimize their operational technology and to improve the experience of customer interactions in novel ways. In his session at @ThingsExpo, Gordon Haff, Red Hat Technology Evangelist, shared examples from a wide range of industries – including energy, transportation, and retail – of using IoT to create new business opportunities and improve eff...

In 2016, artificial intelligence (AI) reached its climax. Research and advisory firm Tractica predicted that the annual worldwide AI revenue will grow from $643.7 million in 2016 to $38.8 billion by 2025. The revenue for enterprise AI applications will increase from $358 million in 2016 to $31.2 billion by 2025, representing a compound annual growth rate (CAGR) of 64.3%. Thus, IT and business decision makers must face up to the potentials of AI already today. For each kind of organization this leads to the question, which type of technologies or infrastructure they can leverage to operate an A...

I recently had the opportunity to give a 10-minute keynote at DataWorks Summit 2017. I know what most of you are thinking: Schmarzo can barely introduce himself in 10 minutes! What sort of keynote could he give in just 10 minutes? And to be honest, I too struggled with what to say. But after some brainstorming with my marketing experts (Jeff Abbott, Erin Banks, and Chris Hill), we came up with an idea: Pose 5 questions that every organization needs to consider as they prepare themselves for digital transformation. And while I didn’t have enough time in 10 minutes to answer those questions...

Because IoT devices are deployed in mission-critical environments more than ever before, it’s increasingly imperative they be truly smart. IoT sensors simply stockpiling data isn’t useful. IoT must be artificially and naturally intelligent in order to provide more value In his session at @ThingsExpo, John Crupi, Vice President and Engineering System Architect at Greenwave Systems, will discuss how IoT artificial intelligence (AI) can be carried out via edge analytics and machine learning technologies that enable things to process event data at the source, learn patterns of behavior over time...

Everything run by electricity will eventually be connected to the Internet. Get ahead of the Internet of Things revolution and join Akvelon expert and IoT industry leader, Sergey Grebnov, in his session at @ThingsExpo, for an educational dive into the world of managing your home, workplace and all the devices they contain with the power of machine-based AI and intelligent Bot services for a completely streamlined experience.

As today's digital disruptions bounce and smash their way through conventional technologies and conventional wisdom alike, predicting their path is a multifaceted challenge. So many areas of technology advance on Moore's Law-like exponential curves that divining the future is fraught with danger. Such is the problem with artificial intelligence (AI), and its related concepts, including cognitive computing, machine learning, and deep learning.

In the blog “From Autonomous to Smart: Importance of Artificial Intelligence,” we discussed the two critical artificial intelligence (AI) challenges in creating “smart” edge devices: Artificial Intelligence Challenge #1: How do the Artificial Intelligence algorithms handle the unexpected, such as flash flooding, terrorist attacks, earthquakes, tornadoes, police car chases, emergency vehicles, blown tires, a child chasing a ball into the street, etc.?

Increasingly, in a world of compressed times and distances, humans will be the inventors, designers and managers of digital systems and processes, rather than the operators. Operations will be measured in milliseconds, an inhumane speed where only the machines can deliver. Professor Paul Virilio, a philosopher of speed, urbanist and cultural theorist, wrote at length about the impact of speed on society. He wrote that speed compresses both time and distance. Where once it took a letter 6 months to get to the other side of the world, an email can now arrive in seconds. Today's near real-tim...

How can an organization with decades worth of accumulated ERP customizations and configurations, IT systems and customized software applications digitally transform fast enough to keep up with the rapidly changing behaviors of digital customers? That is a hard question most organizations are wrestling with today. Often complex custom IT environments served a purpose in a past era, but today where IT speed and agility are required, they serve as anchors restraining an organization from moving forward and digitally transforming fast enough to compete.