Businesses can get carried away with the idea that they need an advanced deep learning system that can do it all, according to Alan Pelz-Sharpe. However, if they want to tackle a targeted use case, like automating an invoicing process, they don’t need an advanced system. These systems are expensive and use a lot of data, which means they have a high carbon footprint. A specialized system will have been trained on a much smaller amount of data while still being capable of fulfilling a specific use case just as well as a more general system. “Because it is highly specialized, this AI has been trained on the most precise data possible” while keeping a small set of data, says Alan Pelz-Sharpe. A deep learning model , on the other hand, has to stir up massive amounts of data to achieve anything.
“Knowledge management has a long history by IT standards, but the methodologies defined by Nonaka and others in the late ‘90s still hold strong,” said Alan Pelz-Sharpe, founder and principal analyst of Deep Analysis. “But at its heart, knowledge management is the art of bringing order to chaos, to bring structure and efficiency to the sharing of organizational knowledge. Everyone needs access to organizational knowledge. We know it’s there, but often can’t find it.”
Pelz-Sharpe said the nationwide push toward cloud and mobile work due to the COVID-19 pandemic has further prompted interest in ensuring that all Americans have internet access. Still, the underlying internet infrastructure has not had the investment necessary to support and drive such a transformation, he said. While roughly 90% of Americans have access to the internet, the speed, quality and cost of that service varies widely, he added. “Many rural areas are underserved; some remain essentially off the grid,” he said. “Equally, the high cost has meant many are unable to afford it.”
In comparison, Zix is a “good deal,” said Deep Analysis founder Alan Pelz-Sharpe, probably in part because the email encryption company that caters to small and medium-sized businesses wasn’t profitable. OpenText must take on Zix’s estimated $200 million debt. The Zix acquisition, Pelz-Sharpe predicted, will slot right into the OpenText product universe and fill an immediate need for its customers, some of which are large enterprises who didn’t support full-time remote workers before 2020.
One of the ongoing debates in the world of RPA (robotic process automation) has to do with terminology. Currently, most RPA tools are referred to as bots; a few years ago, they were described as robots. Now, more firms are using the term “digital workers.” On the surface, it may seem to be semantics.
Vendors argue that office automation tools make employees more efficient. But they also make employees warier about their employers, said Alan Pelz-Sharpe, founder and principal analyst at Deep Analysis.
Pour Alan Pelz-Sharpe, fondateur de Deep Analysis, toutes ces fonctionnalités de collaboration sont et seront un ajout très intéressant pour la plateforme. Box, néanmoins, ne cherche pas à concurrencer Teams, Slack, ou Google Workspace – ce qui serait une erreur estime l’analyste.
For balance, Ron also spoke to Alan Pelz-Sharpe, founder and principal analyst at Deep Analysis. “The next year is pivotal for Box,” he said. “It has to prove that it was right to win the proxy fight. To do that, it has to evolve the Box platform and grow steadily but surely and continue to carve out a niche for itself in the market.”
Enterprises focus far too much on simply doing things faster and cheaper, according to Alan Pelz-Sharpe, founder and principal analyst at Deep Analysis. And when AI is used as a blunt force tool for this kind of project it will almost always fall short, he added. “AI when used correctly is similar to RPA (Robotic Process Automation),” Pelz-Sharpe said. “With RPA you can automate repetitive tasks. With AI you can automate human tasks at scale.”
“数据中心将成为对环境影响最大的事物之一，”分析公司Deep Analysis 的创始人Alan Pelz–Sharpe 说。 郑重声明：本文版权归原作者所有，转载文章仅为传播更多信息之目的