Technalysis Research
 
Previous Blogs

November 11, 2016
Oculus Software Update Lowers PC Requirements for VR Headset

November 8, 2016
The Best Automotive Tech Opportunity? Make Existing Cars Smarter

November 1, 2016
It’s Time for an IoT Security Standard

October 25, 2016
The Indefatigable PC

October 21, 2016
Tesla Hardware Upgrade to Enable More Autonomous Cars

October 18, 2016
Can IT Survive?

October 14, 2016
Sony PlayStation VR Brings Virtual Reality to the Masses

October 11, 2016
Galaxy Note 7: The Death of a Smartphone

October 4, 2016
Service Providers Still Act Like Utilities

September 30, 2016
Google Updates Their Cloud Offerings

September 27, 2016
The Andromeda Strain

September 13, 2016
Apple's Missed Audio Opportunity

September 9, 2016
Traditional IT Companies Announce Major Changes: Dell, HP Enterprise, Intel

September 6, 2016
Rethinking Smart Home Gateways

August 30, 2016
Ridesharing Impact Dramatically Overstated

August 23, 2016
Consumer Interest in Auto Tech? Slower Than You Think

August 19, 2016
Intel Focuses on Automotive

August 16, 2016
The Utility of Cloud Computing

August 12, 2016
Intel Purchases AI Chip Vendor

August 9, 2016
The Digital Identity Dilemma

August 2, 2016
IoT Strategies Going Vertical

July 29, 2016
Yahoo-Verizon Deal

July 26, 2016
Creating New Worlds

July 19, 2016
The State of Smart Homes

July 15, 2016
US PC Market Shows Improvement

July 12, 2016
Pokemon Go is an AR Watershed

July 5, 2016
Car Wars: The Battle for Automotive Tech

July 1, 2016
Microsoft Announces Windows 10 Anniversary Update

June 28, 2016
Digital Audio Progress Highlights Tech’s More Human Future

June 24, 2016
HP Inc. Offers Thinnest Notebook

June 21, 2016
IoT Faces Challenges with Scale

June 17, 2016
Snapchat Opens Up New Options for Marketers

June 14, 2016
Apple Drives Apps into Services

June 7, 2016
The Evolution of Cloud Computing

May 31, 2016
Voice-Based Computing with Digital Assistants

May 24, 2016
Turning Makers into Manufacturers

May 20, 2016
Google Brings Android Apps to Chrome

May 17, 2016
Virtual Reality Brings New Life…to Desktops?

May 10, 2016
The Biggest Question for IoT…Who Pays?

May 3, 2016
Learning About Deep Learning

April 26, 2016
The End of Hardware?

April 19, 2016
Enterprise IoT Drives Indirect Savings

April 12, 2016
TidBits About Bots

April 5, 2016
VR in the Cloud

March 29, 2016
IOT Will Drive Tech Outside of IT

March 22, 2016
Apple Moves to Middle Age

March 15, 2016
The Invisible Platform

March 8, 2016
Bringing Makers to Business

March 1, 2016
IOT Coming Into Focus

February 23, 2016
The Devices Formerly Known as Smartphones

February 16, 2016
Can Web Music Survive?

February 9, 2016
The Growing Choices in Wireless Connectivity

February 2, 2016
What if Twitter Died?

January 26, 2016
Smart Home Safety Evolution: Physical to Digital

January 19, 2016
The Promise and Confusion of USB Type-C

January 12, 2016
The Hottest Computing Device? Cars

January 5, 2016
Top Tech Predictions for 2016, Part 2

December 30, 2015
Top Tech Predictions for 2016, Part 1

2015 Blogs

2014 Blogs


2013 Blogs

















TECHnalysis Research Blog

November 15, 2016
Ready or Not, We’re Entering an AI World

By Bob O'Donnell

The tech landscape as we know it is about to be obliterated.

No, I’m not talking about the impact of a Trump presidency, but something bigger—much bigger.

The impact of Artificial Intelligence (AI) and related technologies, including machine learning, deep learning and neural networks, is now starting to be felt almost everywhere we look. (See my previous column “Learning About Deep Learning” for more.) From everyday devices like PCs and smartphones, to media companies like Facebook, to smart home security services, to connected cars and even to medical diagnostics, the influence of AI is growing rapidly.

Not only is it changing the products and services we use, it’s dramatically reshaping the technical infrastructure behind cloud-based services ranging from web searching to communications bots to personalized advertising (unfortunately!) and much more.

Driving improvements in AI performance is also becoming a key motivating factor for product developments and strategic partnerships. In fact, it seems like virtually all the biggest news-related announcements from tech vendors now have some kind of AI-related angle.

On the semiconductor side, for example, nVidia, AMD, Intel, Qualcomm and many others are focused on creating chips and software that can drive massive improvements in deep learning in large data centers. At this week’s SC16 supercomputing conference, for example, nVidia talked about its efforts on the Cancer Moonshot, a project it’s working on with the National Cancer Institute and the US Department of Energy to deliver a decade of advances in cancer research in just five years thanks to GPU-driven AI applications.

AMD unveiled a new partnership with Google for using its latest GPUs in Google’s Compute Engine and Cloud Machine Learning services, as well as enhancements to its open-source AI-focused Radeon Open Compute Platform (ROCm).

In the world of media, Facebook just announced that it’s planning to leverage AI to help combat its problem with fake news stories. In the devices world, Apple has talked about its AI efforts to help make Siri smarter about your needs and interests, while still maintaining privacy. Google, meanwhile, is leveraging AI to build up a whole range of services that are both more contextually aware of the environments you might find yourself in, as well as personally aware of the specific ways you like to use them.

In short, we’re being surrounded by the first significant fruits from the long-growing but previously near-barren AI tree. For many, these fruits may not offer much taste yet, but it’s clear from early nibbles, that we’re due for an explosion of flavor.

The question then is, are we ready for the onslaught of AI? Based on numerous signs, it’s clear that tech-related companies certainly are. But for individuals, the answers are a bit more opaque. Sure, it’s easy to get excited about the possibilities that AI and related technologies offer, but there can be downsides as well, particularly regarding privacy.

The real trick behind many AI-based products and services is to recognize patterns and then react to those patterns based on previous knowledge about an individual’s preferences. In a positive case, a digital assistant might be able to use that knowledge to help you make better decisions.

As many have started to recognize, however, technologies with good intentions can often be used in unexpected and negative ways. The same set of data about your habits and preferences could be leveraged by criminals to figure out how and when to digitally burglarize you, for example.

Unfortunately, understanding not just the intentions but the decidedly human biases that creep into (or even form the foundation of) the algorithms that drive AI-based products can be very challenging. Nevertheless, as the AI era dawns around us, it’s best to be prepared for a wide range of potential outcomes, with the knowledge that there are bound to be few unpleasant bumps along the way.

Here's a link to the column: https://techpinions.com/ready-or-not-were-entering-an-ai-world/48005

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.

Podcasts
Leveraging more than 10 years of award-winning, professional radio experience, TECHnalysis Research participates in a video-based podcast called Everything Technology.
LEARN MORE
  Research Offerings
TECHnalysis Research offers a wide range of research deliverables that you can read about here.
READ MORE