Previous Blogs

December 12, 2017
The Dawn of Gigabit Connectivity

December 5, 2017
Rethinking Software

November 28, 2017
Making Sense of Edge Computing

November 21, 2017
The Ridesharing Business Conundrum

November 14, 2017
Liberal Arts and Tech

November 7, 2017
Amazing Devices Enabled by Flexible Hybrid Electronics

October 31, 2017
Will the Future of Computing Emerge from the Fog?

October 24, 2017
Solving Multi-Device Dilemmas

October 17, 2017
Tech Inevitability Isn't Guaranteed

October 10, 2017
Edge Computing Could Weaken the Cloud

October 3, 2017
The Business Challenges of Artificial Intelligence

September 26, 2017
Microsoft Takes Computing to the Extremes

September 19, 2017
What is the Future of Upgrades?

September 12, 2017
It’s Time for Modern Digital Identities

September 5, 2017
The Autonomous Car Charade

August 29, 2017
The Golden Era of Notebooks

August 22, 2017
The Evolution of Smart Speakers

August 15, 2017
The Myth of General Purpose Wearables

August 8, 2017
IoT Connections Made Easy

August 1, 2017
Smarter Computing

July 25, 2017
The Value of Limits

July 18, 2017
Tech in the Heartland

June 27, 2017
Business Realities vs. Tech Dreams

June 20, 2017
The Power of Hidden Tech

June 13, 2017
Computing Evolves from Outside In to Inside Out

June 6, 2017
The Overlooked Surprises of Apple’s WWDC Keynote

May 30, 2017
Are AR and VR Only for Special Occasions?

May 23, 2017
The Digital Car

May 16, 2017
Digital Assistants Drive New Meta-Platform Battle

May 9, 2017
Getting Smart on Smart Speakers

May 5, 2017
Intel Opens High-Tech "Garage"

May 2, 2017
The Hidden Value of Analog

April 28, 2017
Google’s Waymo Starts Driving Passengers

April 25, 2017
The Robotic Future

April 21, 2017
Sony Debuts New Pro Camera

April 18, 2017
Should Apple Build a Car?

April 14, 2017
PC Market Outlook Improving

April 11, 2017
Little Data Analytics

April 7, 2017
Facebook Debuts Free Version of Workplace Collaboration Tool

April 4, 2017
Samsung Building a Platform Without an OS

March 31, 2017
Microsoft Announces Windows 10 Creators Update Release Date

March 28, 2017
Augmented Reality Finally Delivers on 3D Promise

March 24, 2017
Intel Creates AI Organization

March 21, 2017
Chip Magic

March 17, 2017
Microsoft Unveils Teams Chat App

March 14, 2017
Computing on the Edge

March 7, 2017
Cars Need Digital Safety Standards Too

February 28, 2017
The Messy Path to 5G

February 24, 2017
AMD Launches Ryzen CPU

February 21, 2017
Rethinking Wearable Computing

February 17, 2017
Samsung Heir Arrest Unlikely to Impact Sales

February 14, 2017
Modern Workplaces Still More Vision Than Reality

February 10, 2017
Lenovo Develops Energy-Efficient Soldering Technology

February 7, 2017
The Missing Map from Silicon Valley to Main Street

January 31, 2017
The Network vs. The Computer

January 27, 2017
Facebook Adds Support For FIDO Security Keys

January 24, 2017
Voice Drives New Software Paradigm

January 20, 2017
Tesla Cleared of Fault in NHTSA Crash Probe

January 17, 2017
Inside the Mind of a Hacker

January 13, 2017
PC Shipments Stumble but Turnaround is Closer

January 10, 2017
Takeaways from CES 2017

January 3, 2017
Top 10 Tech Predictions for 2017

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TECHnalysis Research Blog

December 19, 2017
Tech's Biggest Challenge: Fulfilling the Vision

By Bob O'Donnell

The last several years have seen a tremendous expansion in the ideas, concepts, and overall vision of where the world of technology is headed. From mind-bending escapades into virtual and augmented reality, on to thought-provoking voice interactions with AI-powered digital assistants, towards an Internet filled with billions of connected things, into enticing experiments with autonomous vehicles, and up through soaring vistas enabled by drones, the tech world has been far from lacking in big picture perspectives on where things can go.

Vision, however, isn’t the hard part. The really challenging task, which the industry is just starting to face, is actually executing on those grandiose ideas. It’s all fine and good to talk about where things are going to go—and building out grand blueprints for the future is a critical step for setting industry direction—but it’s becoming clear that now is the time for true action.

Excitement around these big picture visions has begun to fade, replaced increasingly by skepticism of their feasibility, particularly when early efforts in many of these areas have failed to meet the kind of mass success that many had predicted. People have heard enough about what we could do, and are eager to see what we can do.

It’s also more than just a simple dip in the infamous Gartner hype cycle, which describes a path that many new technologies face as they enter the market. According to that widely cited predictive tool, initial excitement around a new technology grows, eventually reaching the point where hype overtakes reality. After that, the technology falls into the trough of disillusionment, as people start to question its impact, before finally settling into a more mature, balanced perspective on its long-term value.

What’s happening in the tech industry now is a much bigger change. After years of stunning new ideas and concepts that hinted at a radically different tech future way beyond the relatively simple advances that were being made in our core tech devices, there’s an increasing recognition that it’s a very long road between where we are now, and where we need to be in order for those visions to be realized.

As a result, there’s a major resetting of expectations going on in the industry. It’s not that the ultimate goals have changed—we’re still headed towards truly immersive AR/VR, conversation-ready AI tools, fully autonomous cars, a seamlessly connected Internet of Things, and much more—but timelines are shifting for their full-fledged arrival.

In the meantime, the industry has to dig into the nitty-gritty of developing all the critical technologies and standards necessary to enable those game-changing developments. Unfortunately, much of that work is likely to be slow-going, and, in many instances, won’t necessarily translate into immediately obvious advances. It’s not that technological innovation will cease or even slow down, but I do believe many advances are going to be more subtle and much less obvious than what many have become accustomed to. As a result, some will think that major tech developments have started to slow.

Take, for example, the world of Artificial Intelligence. By all accounts, refinements in AI algorithms continue at a frenetic pace, but how those get translated into real-world uses and practical implementations isn’t at all clear and, therefore, isn’t moving nearly as quickly. Part of the reason is that the difference between, say, today’s digital assistants and future versions that are contextually intelligent are likely to occur along a long, mildly-sloped line that will be challenging for many people to remember. The difference between a current assistant that can only respond to a relatively simple query and a future version that will be able to engage in intelligent, multi-part conversations is certainly going to be noticeable, but there will likely be lots of subtle, difficult-to-distinguish changes along the way. Plus, it seems a lot less dramatic than the first few times you spoke to a smart speaker and it actually responded back.

If we take a step back and look at the larger global arch of history that the tech industry currently finds itself in, I’d argue we’re in a transitional period. After decades of evolution centered around PCs, smartphones, and simple web browsing, we entered an epoch of intelligent machines, seamless connectivity, and web-based services several years back that allowed the industry to dream big about what it could achieve. Now that we understand those visions, however, the industry needs to get to the hard work of truly bringing those visions to life.

Here's a link to the column: https://techpinions.com/techs-biggest-challenge-fulfilling-the-vision/51886

Bob O’Donnell is the president and chief analyst of TECHnalysis Research, LLC a market research firm that provides strategic consulting and market research services to the technology industry and professional financial community. You can follow him on Twitter @bobodtech.

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