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 cloud era, you as an IT professional are being forced to adopt new roles and take on new responsibilities you may not feel equipped to handle. Businesses are becoming increasingly hybrid, leaving you to manage, secure, monitor, and remediate technology on-premises and in the cloud. Of course, this comes with risks because it means you must manage mission-critical layers of application services across networks, systems, and services you neither own nor control. In fact, in many cases, you may not even have visibility into all the environments you’re responsible to ensure the performance ...

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.?

Having a well-rounded brand strategy helps you identify the marketing channels you must focus on, and defines every aspect of how your business is viewed by your customers. Marketing and advertising is an integral component of every business. The US Small Business Administration recommends that businesses with do under $5 million in gross sales and whose net profit margin is in the 10-12% should spend at least 7-8% of their gross revenue in marketing and advertising. In other words, if you are doing $100,000 in annual revenue, you should be spending around $8,000 a year in advertising your b...

There are several reasons why businesses migrate their operations to the cloud. Scalability and price are among the most important factors determining this transition. Unlike legacy systems, cloud based businesses can scale on demand. The database and applications in the cloud are not rendered simply from one server located in your headquarters, but is instead distributed across several servers across the world. Such CDNs also bring about greater control in times of uncertainty. A database hack can be easily averted by shutting down the breached server and only rendering from servers that are ...

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...

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.

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...

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.”

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...

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.

As businesses adopt functionalities in cloud computing, it’s imperative that IT operations consistently ensure cloud systems work correctly – all of the time, and to their best capabilities. In his session at @BigDataExpo, Bernd Harzog, CEO and founder of OpsDataStore, presented an industry answer to the common question, “Are you running IT operations as efficiently and as cost effectively as you need to?” He then expounded on the industry issues he frequently came up against as an analyst, and how this led him to found OpsDataStore. He also discussed how data-driven IT operations will save mo...

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...

In preparation for General Data Protection Regulation (GDPR) compliance, a global 100 financial services organization embarked on a journey to assess its core information processing environments with the objective of identifying opportunities to strengthen its data privacy protection programs. This article focuses on the technology challenges, approach, and lessons learned for the centralized testing environment.

Existing Big Data solutions are mainly focused on the discovery and analysis of data. The solutions are scalable and highly available but tedious when swapping in and swapping out occurs in disarray and thrashing takes place. The resolution for thrashing through machine learning algorithms and support nomenclature is through simple techniques. Organizations that have been collecting large customer data are increasingly seeing the need to use the data for swapping in and out and thrashing occurs in both transaction processing and online analytical processing. Therefore, there is a growing need ...