Some technology vendors take advantage of that lack of education to upsell their products or misstate their capabilities, according to analyst Alan Pelz-Sharpe Other vendors provide free training courses, though sometimes rudimentary, in which they can explain the basics of AI while still peddling their products.
Digital transformation has seized the imagination of virtually every C-suite. It promises to radically enhance customer engagement and loyalty across all business functions while improving competitiveness, increasing value, driving productivity, and managing risk. Organizations usually define transformation through one of two lenses: customer experience (CX) or operational excellence. However, digital transformation should address bothperspectives, combining a rich mix of business experience, technology expertise, marketing insights, and the deep skills of both customer experience and operational excellence practitioners.
Despite the financial losses, DeepMind technologies and research are likely worthwhile anyway to Alphabet, said Alan Pelz-Sharpe, founder of market advisory and research firm Deep Analysis. “The losses are high but are to be expected, and I don’t think those are of concern nor will be even if they were to double,” Pelz-Sharpe said. “There are few companies that have those kinds of resources to spend on speculative tech, but Alphabet is one of them.”
“Most companies are more ready on a technical level than they probably even realize,” said Alan Pelz-Sharpe, founder of Deep Analysis, a marketing research and advisory firm. For the most part, machine learning augments, not replaces, an enterprise’s system, Pelz-Sharpe said. Putting in place an AI system on a technical level “isn’t really rip and replace,” he said. Instead, it has more to do with automating specific tasks and working with existing data sources to do so.
“Beaucoup de gens déposent des fichiers et utilisent des choses comme Google Drive en guise de système de sauvegarde”, constate Alan Pelz-Sharpe. “Si vous êtes Google, vous allez dire que Drive est idéal pour cela. Mais la plupart des gens vous diront le contraire”.
For years, promoters have made AI technologies sound like the all-encompassing technology answer for enterprises, a ready-to-use piece of software that could solve all of an organization’s data and workflow problems with minimal effort.
But content management has reached an inflection point at which large enterprises are ready to migrate content to the cloud. With the Alfresco cloud migration system, unveiled July 16, the vendor has formalized its existing cloud migration process, said Alan Pelz-Sharpe, founder and principal at Deep Analysis.
Alan Pelz-Sharpe, founder and principal at Deep Analysis, sees this as part of a bigger move in content management away from centralized repository control to decentralized data, content and supporting technologies.
While the Hertz complaint only shows the rental car company’s side of the argument, typically the problems begin when consultants — who aren’t content experts and tend to default to Adobe products — focus on the app’s front end at the expense of retooling the back-end systems delivering the content, said Alan Pelz-Sharpe, founder of the research firm Deep Analysis.
With ECM 2.0, we are starting to see both better OCR with components like Amazon Textract, as well as the ability to add Machine Learning to feed corrections into the process to improve the results over time. To quote Alan Pelz-Sharpe, long-time ECM analyst at Deep Analysis:
“First generation capture products will give way to Machine Learning approaches over the next few years, bringing flexibility and organic adaptation to formerly fixed capture situations”