There is no shortage of opportunities for organizations and suppliers to identify those moments and create potentially significant value for each. Managing the data-heavy requirements of the AI to enable them, along with governance structures to ensure their efficacy in operation – not forgetting their accuracy in the outcome – remains a challenge.
A significant decision along the path from interesting to useful is where AI technology’s application hits the industry verticalization challenge. Lawyers want AI specific to their legal practice; healthcare insurance providers need AI that understands the complexity and details of healthcare insurance etc. For a technology vendor, the need to meet the requirements of a …
Standing up isn’t easy: Industry Verticalization of AI Read More »
Value that should be front and center, not the underlying technology, however interesting. The successful business application of AI is ultimately just as revolutionary, if not more so, than the code, algorithms, models, and processors used.
How can a mature, mid-size IDP classic player compete with the shiny new AI-first stories? Their AI pitches are threatened with oblivion, overwhelmed by the capital-infused buzz created by the flashy start-ups with those huge sales and marketing budgets.
So it is all doom and gloom? No, most certainly not; the shifts in the legal sector are now unstoppable. Many have finally moved to the cloud, and more are following quickly in their wake.
Our website recently published five new vendor-specific reports (Vendor Vignettes in Deep Analysis parlance). And we have many more in the works that we plan to publish in late September.
Today, UIPath announced that it is to acquire UK-based Re:Infer, and quite frankly, it’s one of the most interesting deals of recent few years. Deep Analysis came across Re:Infer late in 2021 and subsequently met with and wrote about them earlier this year, and in that report stated that it would be a good acquisition candidate.
Last week one press release made a claim that almost broke our skeptimeter. The headline claimed “industry-first 100% accuracy offering for document processing.”
If you want evidence of where things are going, French search giant Sinequa this week announced the launch of not one but four pre-trained deep learning language models for its platform. Four, not one – that is a vast amount of AI processing power.
It’s hard to believe that I founded Deep Analysis five years ago (almost to the day). It’s hard to believe we made it this far and that we are looking forward to the next five. But maybe what is hardest to grasp is just how much our industry has changed over these past few years. …
