Forrester Predictions: Ten Key Developments In Cloud Computing Shape The Industry In 2017

Charlie Dai

I’m pleased to announce that Forrester’s cloud computing predictions for 2017 published this morning!

Check out Predictions 2017: Customer-Obsessed Enterprises Launch Cloud’s Second Decade. Our cloud team has gathered 10 key developments in cloud computing that will shape this industry in 2017 — and what you should do about them today.

Cloud computing has been the most exciting and disruptive force in the tech market in the last decade, and it will continue to disrupt traditional computing models at least through 2020. Starting in 2017, large enterprises will move to cloud in a big way, and that will supercharge the market. We predict that the influx of enterprise dollars will push the global public cloud market to $236 billion in 2020, up from $146 billion in 2017.

Cloud platforms from the global megacloud providers like Amazon Web Services, Microsoft, IBM, Google, Salesforce, Oracle, CenturyLink, and SAP will set the pace, accelerating adoption of private cloud and hosted private cloud as well. In 2017, you need to:

  • Get your private cloud and SaaS strategy in shape in 2017 — start now!
  • Educate yourself about exciting developments in hyperconverged infrastructure, security, networking, and containers.
  • Take a fresh look at your regional and industry-specific cloud providers — specialization is afoot.
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Artificial Intelligence: Fact, Fiction. How Enterprises Can Crush It

Mike Gualtieri

Forrester surveyed business and technology professionals and found that 58% of them are researching AI, but only 12% are using AI systems. This gap reflects growing interest in AI, but little actual use at this time. We expect enterprise interest in, and use of, AI to increase as software vendors roll out AI platforms and build AI capabilities into applications. Enterprises that plan to invest in AI expect to improve customer experiences, improve products and services, and disrupt their industry with new business models.

But the burning question is: how can your enterprise use AI today to crush it? To answer this question we first must bring clarity to the nebulous definition of AI.Let’s break it down further:

■        “Artificial” is the opposite of organic. Artificial simply means person-made versus occurring naturally in the universe. Computer scientists, engineers, and developers research, design, and create a combination of software, computers, and machine to manifest AI technology.

■        “Intelligence” is in the eye of the beholder.  Philosophers will have job security for a very long time trying to define intelligence precisely. That’s because, intelligence is much tougher to define because we humans routinely assign intelligence to all matter of things including well-trained dachshunds, self-driving cars, and “intelligent” assistants such as Amazon Echo. Intelligence is relative. For AI purists, intelligence is more akin to human abilities. It means the ability to perceive its environment, take actions that satisfy a set of goals, and learn from both successes and failures. Intelligence among humans varies greatly and so too does it vary among AI systems.

Temper Your Expectations, But Don’t Give Up On AI

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Blockchain And IoT: Not Ready For Primetime, But Now’s The Time To Start

Martha Bennett

Few would disagree that for IoT to live up to its promises, devices will sooner or later need to communicate directly, autonomously and securely with each other. Well-architected blockchain-based systems can help deliver those requirements, but they’re not available or even feasible today. In many ways, that’s a good thing, because it opens up great opportunities to get things right.

So let's start by looking at the challenges that IoT and blockchain ecosystems participants must address. They fall into three broad categories:

  • Technology.  IoT solutions need technology that scales, is secure, and behaves predictably (at least to the degree required by the individual use case). All of these characteristics comprise many different elements. On the security front, for example, there’s the security of the device itself, the security of the actual blockchain, and the security of any interfaces between the devices and the chain, the chain and any other systems, etc. One only needs to look at the incidents such as The DAO debacle of early summer 2016, the Bitfinex hack in August, and the DDoS attacks mounted by IoT devices in October to realize that this remains work in progress. And that’s just security; there are plenty of other issues, including, but not limited to, exception handling, ensuring confidentiality, or dealing with devices that may not be connected all the time, and likely have little on-board compute power or storage.  
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Forrester Predictions: Ten Key Developments In Cloud Computing Shape The Industry In 2017

Dave Bartoletti

I'm pleased to announce that Forrester’s cloud computing predictions for 2017 published this morning!

Check out Predictions 2017: Customer-Obsessed Enterprises Launch Cloud’s Second Decade. Our cloud team has gathered ten key developments in cloud computing that will shape this industry in 2017 — and what you should do about them today.

Cloud computing has been the most exciting and disruptive force in the tech market in the last decade, and it will continue to disrupt traditional computing models at least through 2020. Starting in 2017, large enterprises will move to cloud in a big way, and that will super-charge the market. We predict the influx of enterprise dollars will push the global public cloud market to $236B in 2020, up from $146B in 2017.

Cloud platforms from the global megacloud providers like Amazon Web Services, Microsoft, IBM, Google, Salesforce, Oracle, Centurylink and SAP will set the pace, accelerating adoption of private cloud and hosted private cloud as well. In 2017, you need to:

  • Get your private cloud and SaaS strategy in shape in 2017 — start now!
  • Educate yourself about exciting developments in hyperconverged infrastructure, security, networking, and containers.
  • Take a fresh look at your regional and industry-specific cloud providers — specialization is afoot.
Read more

Blockchain’s Potential For IoT Solutions

Dan Bieler

“IoT is not a feasible concept without a solution that allows for the direct interaction between machines and devices. Blockchain is a technology that can help to unlock this piece of the puzzle.”

Matthew Spoke, CEO, Nuco

Blockchain technology and the IoT both are currently catching the imagination of many interested stakeholders — for good reasons. For IoT to come into its own in the long run, devices sooner or later will have to communicate directly between each other. More than that, they must also be able to initiate further action without waiting for external instructions.

Blockchain can potentially add many benefits to IoT scenarios. Both — IoT and blockchain — are based on decentralized, distributed approaches; in combination, they potentially offer huge benefits from operational efficiencies to revenue generation. While these benefits will not emerge overnight, business and technology leaders need to acquaint themselves now with the possibilities as well as the challenges of blockchain technology in the IoT context, because:

  • Conceptually, blockchain technology is a good match for IoT scenarios. IoT applications are by definition distributed and call for devices to interact directly with each other rather than via existing centralized models.
  • Blockchain has the potential for improved IoT features, cost-efficiency, and compliance. Blockchain is not an end in itself, but forms the basis for applications, including potentially smart contracts, which support specific IoT processes.
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Predictions 2017: CEOs Invest Billions To Transform Operations With Digital Tech

Nigel Fenwick
You've been creating digital customer experiences for years now. You've built a successful app. You’ve assembled a martech/adtech stack. You may even have started swinging at omnichannel delivery or harnessed AI or piloted a connected product. So it’s time to declare victory on digital transformation, right? 
 
Think again.
 
Digital customer experiences are only the shining faces of a digital business. Those pretty faces quickly lose their luster unless you’ve also transformed your business operations to make them better every single day -- and introduce new digital faces all the time. We call this capability "digital operational excellence." It’s the 80 in the 80/20 rule of digital transformation. In our latest report, Predictions 2017: In Digital Transformation, The Hard Work Of Operational Excellence Begins,  my co-authors Ted SchadlerMartin Gill and I give Forrester's predictions for the next year in digital business, including these three:
 
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Grading Forrester’s 2016 Cybersecurity Predictions Plus A Sneak Peek Into Our 2017 Predictions

Amy DeMartine

Every fall Forrester’s Security & Risk team comes together to make a set of predictions on the issues that will have the greatest impact on our clients in the next year. We don’t make broad, Nostradamus-like predictions like “There will be a breach at a large company in a great city.”  Instead, we go out of our way to make detailed predictions that force us to take strong stances, can easily prove wrong or right and are actionable by security and risk professionals. Before we provide a sneak peek into our 2017 predictions, it’s worth looking back and grading our 2016 predictions. 2016 was a particularly tumultuous year for cybersecurity. News agencies kept themselves busy as companies and public figures struggled with breaches, companies experienced embarrassing downtime and individuals felt their privacy rights slip away. The result? Cybersecurity has now vaulted from the boardroom to the Senate floor and to the Presidential debate stage. So how'd we do?

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In 2017, Digital Transformation Budgets Will Top The Billion-Dollar Bar

Ted Schadler
Check out our Predictions 2017: In Digital Transformation, The Hard Work Of Operational Excellence Begins piece that went live this morning. It has more predictions and more detail from from my coauthors Nigel Fenwick and Martin Gill.
 
You've been creating digital customer experiences for years now. You've built a successful app. You’ve assembled a martech/adtech stack. You may even have started swinging at omnichannel delivery or harnessed AI or piloted a connected product. So it’s time to declare victory on digital transformation, right? [In our 2016 services survey, a shockingly high 19% have . . .]
 
Not so fast. Digital customer experiences are only the shining faces of a digital business. Those pretty faces quickly lose their luster unless you’ve also transformed your business operations to make them better every single day -- and introduce new digital faces all the time. We call this capability "digital operational excellence." It’s the 80 in the 80/20 rule of digital transformation. Here are three predictions for 2017 to prod the digital business conversation:
 
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The 2016 Forrester Data Privacy Heatmap Points To Continued EU Influence On Global Regulations

Christopher Sherman
To help security and risk professionals navigate the complex landscape of privacy laws around the world, Forrester created a data privacy heat map that highlights the data protection guidelines and practices for 54 different countries. Earlier today, we published the 2016 version to the tool, as well as a free version with access to only the U.K. and U.S. ratings. We have updated the map every year since it’s initial publication in order to keep pace with the constantly-evolving landscape of global data privacy laws.
 
As we roll out the 2016 update and reflect back on the past 5 years of annual assessments, three high-level trends emerge:
 
  • Countries continue moving toward the EU standard for data protection. New legislation outside of the EU often follows the EU’s lead by adopting provisions similar to those in the existing Directive 95/46/EC regulation. The slow global convergence toward the requirements outlined in the regulation continued through 2016. For example, Argentina and Japan strengthened pre-existing policies, while Nigeria passed its first comprehensive cybercrime legislation. Japan also established an independent regulatory body (“Privacy Protection Commission”) that oversees privacy issues—a requirement of both the current Directive and the superseding European General Data Protection Regulation (GDPR).
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2017 CIO Predictions: CIOs Push For Speed Amid Volatility

Matthew Guarini

Get used to it. Gone are the days of stability and predictability. The business environment you operate in will change faster than ever in 2017. Many of these changes will be outside of your control, but your ability to anticipate and respond will make or break your success. At the heart of this change is the ever-more empowered customer that will accelerate a domino effect of changes in the business environment in which you operate. So here is a quick summary of some of the actions we expect CIOs to take in 2017.

■        Empowered customers drive strategy. Customer obsession is paramount for business success in this rapidly changing world. Ever growing numbers of devices and information lead to a desire for new products and services at a rapid pace. CIOs need to extend their focus beyond building great customer experiences. Striving for speed and flexibility in re-designing core operational function and leveraging emerging technology are both necessary to meet these accelerating customer needs.

■        CIOs will correct bi-modal missteps. Over the past few years, many CIOs fell for the false promise of a bi-modal strategy. But those CIOs are already experiencing the shortcomings of operating a two speeds. Business peer frustration, polarizing and deteriorating cultures, and unsustainable operational complexities will continue, ultimately spurring most of these CIOs to course correct in 2017.

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