Gary Eastwood

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Gary Eastwood has over 20 years' experience as a science and technology journalist, editor and copywriter; writing on subjects such as mobile & unified communications (UC), smart cities, information and communications technology (ICT), cloud, the Internet of Things (IoT), clean technology, nanotechnology, robotics & AI and science & innovation for a range of publications.

He is currently the co-editor of www.ucinsight.com, and has held editorship positions on two B2B magazines and four consumer titles (including Microsoft's FYI magazines).

Projects that take up most of his time these days include marketing and communications for a diverse range of organizations, including 5G World, UCExpo, Tacira, Gintel, Digitalk, Smart Mobility Summit, Ascom, Aztech IT and ergo, and white papers and consultancy projects for Kable (Current Analysis) and HERE Maps.

Outside his life as a technology writer and analyst, Gary is an avid landscape photographer who has authored two photography books and ghost-written two others. He is currently the official photographer for the Brighton i360 tower.

The opinions expressed in this blog are those of Gary Eastwood and do not necessarily represent those of IDG Communications, Inc., its parent, subsidiary or affiliated companies.

How intent-based networking is transforming an industry

How intent-based networking is transforming an industry

As fears continue to grow about automation and AI, intent-based networking shows that there’s more to gain by embracing these technologies than shunning them.

Why smart cities are crucial for autonomous cars

Why smart cities are crucial for autonomous cars

As smart cities come to dominate both our national and global landscapes, ridesharing and business operations will evolve with transportation trends.

How IoT data exchange services will impact IoT development

How IoT data exchange services will impact IoT development

As data exchange services come to supplant many facets of the Internet of Things (IoT), industry insiders are ponying up the funds needed to own tomorrow’s data services today.

How tech giants are putting big data to work

How tech giants are putting big data to work

Big data has emerged at the core of the business model for Silicon Valley's biggest companies. Here's what they're doing with it.

Can the U.S. Senate secure the Internet of Things?

Can the U.S. Senate secure the Internet of Things?

The push for IoT security is not new, but the new U.S. Senate bill is a massive step by legislators to tighten up this cybersecurity minefield.

Why AI is more important than big data for IoT development

Why AI is more important than big data for IoT development

Artificial intelligence won’t solve every problem, but its current applications are already fundamentally reshaping the way we do business and collect data.

How AI is transforming healthcare for the benefit of patients

How AI is transforming healthcare for the benefit of patients

AI stands to help more patients get cured at a faster pace than ever before, often at a fraction of the cost.

Is the end of net neutrality a threat to IoT development?

Is the end of net neutrality a threat to IoT development?

The gutting of net neutrality rules could pave the way towards an unregulated future where the viability of IoT is threatened.

How scientists are using big data to discover rare mineral deposits

How scientists are using big data to discover rare mineral deposits

Searching the earth for valuable mineral deposits has never been easy, but big data is allowing scientists to gleam the signal from the noise.

What’s driving the smart wear boom?

What’s driving the smart wear boom?

Several key industries have embraced smart wear quicker than others, spurring a boom in the wearables market.

4 key areas where blockchain can transform IoT

4 key areas where blockchain can transform IoT

Blockchain can help alleviate security concerns, enable third party verification and avoid multiple inputs of the same information across IoT devices.

When to use a public or private cloud infrastructure

When to use a public or private cloud infrastructure

Businesses need to appraise their individual requirements to decide which type of cloud computing is best suited to the organization.

How CIOs can use machine learning to transforming customer service

How CIOs can use machine learning to transforming customer service

When used properly, machine learning will take high volumes of customer interactions and use them to deliver a better experience.

Has big data reached a tipping point in the cloud?

Has big data reached a tipping point in the cloud?

Development of cloud-based in-house analytical systems has effectively become the tipping point for businesses to commit to a big data solution.

5 open source tools for developing IoT applications

5 open source tools for developing IoT applications

Utilizing these five open source platforms you’ll find yourself tackling challenges and developing successful IoT applications in no time.

How to bring data analytics into the smart home infrastructure

How to bring data analytics into the smart home infrastructure

Tapping into data analytics to increase consumer engagement could help developers revolutionize the smart home market.

How big data Is driving technological innovation

How big data Is driving technological innovation

While businesses have analyzed data for decades, recent developments in computing have opened new doors and unleashed big data’s potential.

5 benefits of using cloud ERP to deliver results

5 benefits of using cloud ERP to deliver results

Cloud computing can take your enterprise resource planning (ERP) to the next level with flexible and scalable management solutions.

Will edge computing vaporize the cloud?

Will edge computing vaporize the cloud?

The fact that edge computing doesn't depend on potentially-shaky network connections has some speculating that it will edge out the cloud.

5 of the best data analytics platforms that use the edge

5 of the best data analytics platforms that use the edge

The ability to use edge computing to optimize data processing and develop real time analytics ability is available to all organisations with the help of these platforms.

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