Lose Your Job, Specialize in Mixed Reality, or Become a Hero in Your Home Town
I get to read quite a few articles relating to the IT industry. Today, a dreary winter day, I am delighted to get a chuckle from the back-to-back reading of two industry articles.
The first article, ‘Limited hiring for software and data pros in December caps otherwise downward year‘ is not good news for the IT industry. This is a synopsis of hiring data in the US for the month of December, referring to the numbers that overall IT hiring encountered – not only a pretty bad month but a pretty bad year. Following two consecutive months of strong job gains, hiring in the US technology sector slowed in December, adding only 6,000 new jobs, according to an analysis by CompTIA, the leading technology industry association.
What is somewhat perturbing it that, according to the CompTia report, “The tech employment numbers for last month were fairly uneventful,” said Tim Herbert, senior vice president for research and market intelligence at CompTIA. “Looking at the bigger picture, we expect a continuation of a tight labor market for tech talent through 2019.” Not all gloom and doom but also not a rosy prediction.
Now, let’s juxtapose this article with the second one I read – a report released by DMI, ‘8 top AI and analytic trends in 2019.’ Of course, what’s nice about trends is that no one really goes back and checks whether they were right or wrong. According to Srinivasa Vegi, DMI’s executive vice president for data analytics and artificial intelligence (AI), forward-looking organizations can’t afford to overlook these emerging trends, “Companies that fail to adopt AI will lose out. Some industries may even be wiped out.” Wow, that will hit IT staffing, if the entire industry goes away!
Vega also comments that AI will deliver approximately $2 trillion of business value worldwide over the next year, through the use of advanced computing algorithms that identify and optimize business insights humans cannot spot. I guess this will be accomplished through a hiring freeze? And may I assume that organizations are fully staffed with data scientists and blockchain experts, to avoid security breaches? This goes hand in hand with edge computing, which has a robust future, if organizations have full-time AI and data analytics staff that can provide real-time intelligence to spot trends, opportunities, problems, and fixes before they happen. Who has that luxury? And the crème de la crème, mixed reality, is scheduled for take-off. I won’t even go there, as I have no idea what type of person you would hire.
What complications are you buying? Where did Concept Searching go wrong? We have one platform, it connects to just about any technology, and works just about out of the box. Business staff can maintain and manage it interactively and intuitively, and workflows can be deployed in minutes. Our insight engine generates content and links that we poor humans never would have found, natural language processing (NLP) is used to generate and understand metadata, over 80 rules are documented, and there are rules to enable organizations to define their own criteria for content identification, protection, and remediation. And this runs in real time.
Maybe no organization likes the fact that the multi-term conceptual metadata can be automatically classified to improve any application that requires its use – such as secure collaboration, semantic search, records management, GDPR, migration, knowledge management, data discovery and classification, content optimization and file analytics, compliance and governance, information security, and our much beloved text analytics.
From the second article came another prediction – ‘total fantasy’ will reign for executives and IT staff in a whole slew of ‘what if’ AI scenarios for 2019, as discussed above. Perhaps Budget 101 is in the future?
If your content is mismanaged or unmanaged, and you believe AI and NLP are the only options, give us the opportunity to show you how to reduce costs and reduce risk. I am sure there is no organization that particularly likes risk. But what do I know? Based on staffing needs alone, AI and NLP are expensive propositions. WDYT?