WEB TECHIES BLOG
Here’s a look at the challenges and opportunities ahead.
It’s widely known by now that the U.S. and global economy are being profoundly re-shaped by software technology. Human jobs are being eaten by software, specifically Artificial Intelligence (AI) algorithms able to ingest and analyze massive volumes of data to inform and remotely control better process management decisions, more efficient outcomes. Our political leaders don’t seem up to the policy challenges of job displacement — at least not yet, but the application of Big Data software algorithms is elevating decision-making precision to a whole new level, creating efficiencies, saving costs or delivering new solutions to important problems. This will be an avatar for some of the best investment opportunities in years to come. Our private firm, Xerion Investments, is investing primarily in what I’ll call “A-AIaaS” plays — Applied Artificial Intelligence-as-a-Service.
By now, most of us have heard of the “Internet of Things (IoT).” It’s a concept that has the potential to impact how humans live and work, how policy is written, and how technology develops for the foreseeable future.
Simply put, the Internet of Things is the concept of connectivity between everyday appliances that are now, thanks to nearly universal wifi, networkable. Says Jacob Morgan for Forbes: “This includes everything from cellphones, coffee makers, washing machines, headphones, lamps, wearable devices and almost anything else you can think of.
Click through for more on how organizations can take better advantage of the Internet of Things and the massive amount of data it generates, as identified by Matt Gould, chief strategy officer of Arria NLG.
The new era of interconnected life is here. And, as our technology advances, we are surrounded by more and more sensors gathering data — allowing our machines to speak to each other and speak to us via the Internet of Things (IoT).
Data is being generated faster than any one person or company is able to analyze it. In fact, less than 0.5 percent of all data is ever analyzed. The real problem lies in the shortage of experts who have the ability to analyze, unlock, and communicate its value. Automation and natural language generation platforms are able to solve the data capacity crisis by gleaning actionable insights in the most efficient and effective way.