データ分析における「次の大きなもの」は?展開中、とDiveplane CEOは語る

発行日:

ローリー – Forget trying to look into a magic ball to predict the “next big thing” in data analytics. To Diveplane’s CEO Michael Capps, it’s pretty clear.

“Actually, it’s rolling it out,” he said as part of a Q&A session, held shortly after his closing keynote for North Carolina Technology Association’s State of Technology virtual event on Friday.

Capps know data. The former CEO of Epic Games is the founder of the Raleigh-based Diveplane, an artificial intelligence startup that helps financial organizations move data without any privacy concerns.

“Right now, 50 percent of corporations aren’t using it all,” he said. “The ones that are, are barely using it; and everyone’s having trouble integrating.”

It’s a reality check for executives and business leaders who gathered online for the conference to explore how data is impacting our lives, personally and professionally.

For those not in the know, “big data” is the digital convergence of structured data found inside databases, and unstructured data flowing from new sources like social networks, mobile devices, sensors, RFID, smart meters and financial systems.

Today, organizations can capture and analyze any data, regardless of what type, to make more informed decisions.

But as Capps points out, the technology curve of AI is “insane.’

“I mean, it’s not doubling every year; it’s 20-xing every year, and nobody can to keep track of it.”

Screen shot of Diveplane’s CEO Michael Capps giving the closing keynote for North Carolina Technology Association’s State of Technology virtual event on Friday.

Interestingly, he says it’s the small companies that will win in a rapid rollout.

“That’s the transition you’ll see. It’ll be a couple of big ones that are hard to cut down; but the small banks, the small healthcare pairs, the small loyalty programs, whatever it is — those are the ones that will win quickly and take over because they can adapt.

2018 年に設立された Diveplane は、企業や政府機関がトレーニング可能、解釈可能、監査可能な AI を理解するのに役立つテクノロジーを開発しています。

10月にはALLUVIONと呼ばれる新しいツールもリリースした。商業用不動産業界向けに特別に作成されたそのアルゴリズムは、過去の観察のみに基づいて予測するのではなく、絶えず変化する傾向を特定し、変動するボラティリティを分析して市場の成長を正確に予測します。

同月、同社は GEMINAI もリリースした。これは、元のデータと同じ統計的特性を維持しながら、現実世界の機密情報や個人情報は一切含まない、検証可能な合成「ツイン」データセットを作成する。

その結果、金融機関などの企業は、このデータが誤って扱われたり、紛失したり、盗まれたりした場合でも、実際の機密情報が含まれていないことを安全に認識しながら、関連データを分析および共有できます。

元の記事の出典: WRAL TechWire