AI Is Not An Exception – Technology Has Always Taken Jobs

Mike Gualtieri

Yes, AI will take jobs away from many workers - our relatives, friends, and neighbors. So too have all technologies created throughout human history. We invent things to make things easier and the impossible possible. The invention of the wheel made transport easier. Gutenberg’s printing press put lots of monk’s out of business. The chainsaw saw a reduction in the number of sawyers (lumberjacks). Modern medicine created a sharp decrease in snake oil charlatans. The Wang word processor annihilated typing pools. The list goes on. Technology changes how and who performs work, but it also enables new work that no one ever imagined. AI is but another technology in a long list of technologies dating back to the blunt club.

The culprit is gray matter

It is human intelligence. There is nothing that can stop it. But, it is that same gray matter that finds a way – a way for humanity to flourish – at least statistically. If life is precious, then the last hundred years have seen a dramatic increase in life expectancy. According to the National Institute On Aging, the most dramatic and rapid gains have occurred in East Asia, where life expectancy at birth increased from less than 45 years in 1950 to more than 74 years today.

AI will short-term replace workers just as all technology has, but longer term it will raise wages as human workers become exponentially more productive because their efforts are augmented by intelligent machines – non-human servants.

We can go back or we can go forward. Let’s go forward.

Micro Explanations For Nine Essential AI Technologies

Mike Gualtieri

Artificial Intelligence is rampant in the movie Ex MachinaArtificial Intelligence (AI) is not one big, specific technology. Rather, it is comprised of one or more building block technologies. So, to understand AI, you have to understand each of these nine building block technologies. Now, you could argue that there are more technologies than the ones listed here, but any additional technology can fit under one of these building blocks. This is a follow-on to my post Artificial Intelligence: Fact, Fiction, How Enterprises Can Crush It

Here are the nine pragmatic AI technology building blocks that enterprises can leverage now:

■        Knowledge engineering. Knowledge engineering is a process to understand and then represent human knowledge in data structures, semantic models, and heuristics (rules). AD&D pros can embed this engineered knowledge in applications to solve complex problems that are generally associated with human expertise. For example, large insurers have used knowledge engineering to represent and embed the expertise of claims adjusters to automate the adjudication process. IBM Watson Health uses engineered knowledge in combination with a corpus of information that includes over 290 medical journals, textbooks, and drug databases to help oncologists choose the best treatment for their patients.

Read more

15 "True" Streaming Analytics Platforms For Real-Time Everything

Mike Gualtieri

Streaming Analytics Captures Real-Time Intelligence

Streaming AnalyticsMost enterprises aren't fully exploiting real-time streaming data that flows from IoT devices and mobile, web, and enterprise apps. Streaming analytics is essential for real-time insights and bringing real-time context to apps. Don't dismiss streaming analytics as a form of "traditional analytics" use for postmortem analysis. Far from it —  streaming analytics analyzes data right now, when it can be analyzed and put to good use to make applications of all kinds (including IoT) contextual and smarter. Forrester defines streaming analytics as:

Software that can filter, aggregate, enrich, and analyze a high throughput of data from multiple, disparate live data sources and in any data format to identify simple and complex patterns to provide applications with context to detect opportune situations, automate immediate actions, and dynamically adapt.

Forrester Wave: Big Data Streaming Analytics, Q1 2016

To help enterprises understand what commercial and open source options are available, Rowan Curran and I evaluated 15 streaming analytics vendors using Forrester's Wave methodology. Forrester clients can read the full report to understand the market category and see the detailed criteria, scores, and ranking of the vendors. Here is a summary of the 15 vendors solutions we evaluated listed in alphabetical order:

Read more

Google I/O 2013 Developer's Conference: A Great Time To Be A Developer

Mike Gualtieri

Google sets amazing new standards when it comes to web, mobile, and cloud technologies. That's why we are here at Google I/O 2013 in San Fransciso to find out what new technologies and tools developers can expect on all technology fronts. See this special edition of Forrester TechnoPolitics to experience the energy of Google I/O.

About Forrester TechnoPolitics

Read more