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So far Jennifer Mavashev has created 76 entries.
30 11, 2016

How The Internet Of Things Will Impact Your Everyday Life

By |November 30th, 2016|Internet of Things|0 Comments

The Internet of Things is an interesting concept: On one level it’s still largely theoretical; on another it’s already a network that you use every single day. The Oxford English Dictionary defines the Internet of Things (IoT) as “a proposed development of the Internet in which everyday objects have network connectivity, allowing them to send and receive data.”

It […]

29 11, 2016

Data to analytics to AI: From descriptive to predictive analytics

By |November 29th, 2016|Analytics|0 Comments

Artificial Intelligence (AI) seems to be the buzzword du jour for organizations, but this is not an obvious or straightforward transition even for those building advanced products and platforms. Many organizations are still struggling with digital transformation to become data-driven, so how should they approach this new challenge?

And both highlighted in a very real […]

28 11, 2016

Big Data Top Trends 2017

By |November 28th, 2016|AI, Big Data, Internet of Things, machine learning|0 Comments

2016 is coming to an end, much to the relief of many. Having looked at the trends in big data for the past couple of years we thought we would continue the tradition into what will be an incredibly unpredictable year both in terms of data and the world in general.

Machine Learning, AI, And […]

16 11, 2016

How to Make Your Company Machine Learning Ready

By |November 16th, 2016|machine learning|0 Comments

When people talk about AI, machine learning, automation, big data, cognitive computing, or deep learning, they’re talking about the ability of machines to learn to fulfill objectives based on data and reasoning. This is tremendously important, and is already changing business in practically every industry. In spite of all the bold claims, there remain […]

15 11, 2016

When Big Data Isn’t Enough – You Need Fast Data!

By |November 15th, 2016|Big Data, Fast Data|0 Comments

Big data is getting bigger all the time, but that’s only half the story. The ever-growing amount of information streaming in from sensors, point-of-sales, social media and clickstreams means that enterprises must now, more than ever, have the capabilities to react quickly. Data, after all, has a shelf life. It’s all very well if […]

14 11, 2016

An executive’s guide to the Internet of Things

By |November 14th, 2016|Internet of Things|0 Comments

As the Internet of Things (IoT) has gained popular attention in the five years since we first published on the topic, it has also beguiled executives. When physical assets equipped with sensors give an information system the ability to capture, communicate, and process data—and even, in a sense, to collaborate—they create game-changing opportunities: production […]

9 11, 2016

Why The Aviation Industry Needs to Hurry Up With IoT Implementation

By |November 9th, 2016|Internet of Things|0 Comments

With their billions of annual captive customers, one would think that airports, and by logical extension, airlines, were prime candidates for the implementation of the Internet of Things (IoT) technology to improve the passengers’ experience, yet, there’s not been much progress there.

Yes, airlines and airports have started “experimenting” with IoT, but unlike say the […]

8 11, 2016

Is Cloud Data Safer Than On-Site?

By |November 8th, 2016|cloud|0 Comments

The use of cloud computing, SaaS services, and remote working has meant that rather than data being stored on a single on-site server accessed only from a networked computer, it can be accessed from anywhere in the world. This has meant that employees can now work from anywhere they want without missing any data […]

7 11, 2016

Machine Learning is the New Statistics

By |November 7th, 2016|machine learning|0 Comments

I’ve been trying to think of a way to describe how big Machine Learning is, and I think I finally have a decent one:

Machine Learning is the new Statistics.

Why Statistics?

Because Statistics is the primary mechanism we’ve had for decades for learning about the world. It’s an approach to looking at data and learning something […]

2 11, 2016

Gartner’s 10 big trends that will change how IT operates

By |November 2nd, 2016|ITOps|0 Comments

1. Disappearing data centers

It’s no secret that organizations are now equally as infatuated with the cloud as they were once wary of it. It’s important to remember that “even those these workloads are moving, we in IT are still responsible for them.” So IT has to get really smart about what to put in the cloud and where, and always think of the downstream effects on things such as storage and bandwidth.

2. Interconnect fabrics
With more services and applications being connected to different clouds and vendors as well back to internal systems, IT needs to orchestrate the ways they all interconnect in a purposeful manner. They ultimately want “services delivered from the right place, for the right price, from the right platform.”
3. Containers, microservices, and application streams

Containers represent the new technology to embody agile development and deliver applications in faster and more modular ways. “It makes IT a much more dynamic entity.”

4. Business-driven IT

“At least 29% of IT spend is outside the IT organization.” That’s because IT and its processes are too slow and cumbersome, so business units just outsource it themselves. IT needs to reset the playing field, not to get more control but to get more involved.

5. Data Center as a Service

“it’s about the application, not the infrastructure” and “it’s not about ‘my data center’—it’s about delivering compute resources to the business, the best way possible.”

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