Lifeboat Foundation

Join top executives in San Francisco on July 11–12, to hear how leaders are integrating and optimizing AI investments for success. Learn More

Vectara is continuing to grow as an AI powered conversational search platform with new capabilities announced today that aim to improve generative AI for business data.

The Santa Clara, Calif.- based startup emerged from stealth in Oct. 2022, led by the former CTO and founder of big data vendor Cloudera. Vectara originally branded its platform as a neural search-as-a-service technology. This approach combines AI-based large language models (LLMs), natural language processing (NLP), data integration pipelines and vector techniques to create a neural network that can be optimized for search.

Is this Mars thing really happening? SpaceX did its first test launch of Starship this spring, the rocket that it’s developing to send to Mars. But getting to Mars is still a long way off. So does SpaceX have the funding and business plan to pull it off?For sponsor-free episodes of The Indicator from Planet Money, subscribe to Planet Money+ via Apple Podcasts or at plus.npr.org.

https://youtu.be/289mVc7PDsU

This video explores Brain Computer Interfaces in 2050. Watch this next video called “Transhumanism: 20 Ways It Will Change The World:” https://youtu.be/qcsihbGnXgE.
► Udacity: Up To 75% Off All Courses (Biggest Discount Ever): https://bit.ly/3j9pIRZ
► Jasper AI: Write 5x Faster With Artificial Intelligence: https://bit.ly/3MIPSYp.

Official Discord Server: https://discord.gg/R8cYEWpCzK
Patreon Page: https://www.patreon.com/futurebusinesstech.

Continue reading “Brain Computer Interfaces in 2050: Top 10 Future Technologies” »

The undersea cables are being targeted.

Taiwan is beefing up its communications infrastructure to ensure that it remains connected to the rest of the world in case of any emergency. Cindy Wang reports on Bloomberg Television.
——-
Follow Bloomberg for business news & analysis, up-to-the-minute market data, features, profiles and more: http://www.bloomberg.com.
Connect with us on… Twitter: https://twitter.com/business Facebook: https://www.facebook.com/bloombergbus… https://www.instagram.com/bloombergbu…
Twitter: https://twitter.com/business.
Facebook: https://www.facebook.com/bloombergbusiness.
Instagram: https://www.instagram.com/bloombergbusiness/

For the past 20 years, the theory of disruptive innovation has been enormously influential in business circles and a powerful tool for predicting which industry entrants will succeed. Unfortunately, the theory has also been widely misunderstood, and the “disruptive” label has been applied too carelessly anytime a market newcomer shakes up well-established incumbents.

In this article, the architect of disruption theory, Clayton M. Christensen, and his coauthors correct some of the misinformation, describe how the thinking on the subject has evolved, and discuss the utility of the theory.

They start by clarifying what classic disruption entails—a small enterprise targeting overlooked customers with a novel but modest offering and gradually moving upmarket to challenge the industry leaders. They point out that Uber, commonly hailed as a disrupter, doesn’t actually fit the mold, and they explain that if managers don’t understand the nuances of disruption theory or apply its tenets correctly, they may not make the right strategic choices. Common mistakes, the authors say, include failing to view disruption as a gradual process (which may lead incumbents to ignore significant threats) and blindly accepting the “Disrupt or be disrupted” mantra (which may lead incumbents to jeopardize their core business as they try to defend against disruptive competitors).

Understanding Germany: deutschland.de explains German politics ✓ business ✓ society ✓ culture ✓ and global partnerships ✓ with fascinating reports, concise facts, interactive features and exclusive interviews. Current, clear and coherent. ►.

W elcome to the TechCrunch Exchange, a weekly startups-and-markets newsletter. It’s inspired by the daily TechCrunch+ column where it gets its name. Want it in your inbox every Saturday? Sign up here.

From cybersecurity to SaaS for restaurants, the key to running a successful business is selling a product that solves your clients’ real problems. — Anna

2022 in cybersecurity.

Most companies still view AI rather narrowly, as a tool that alleviates the costs and inefficiencies of repetitive human labor and increasing organizations’ capacity to produce, process, and analyze piles and piles of data. But when paired with “soft” inquiry-related skills it can help people ask better questions and be more innovative.

There are two distinct, yet related, paths to do this. 1) Use the technology to change the cadence and patterns of their questions: AI increases question velocity, question variety, and question novelty. 2) Use AI to transform the conditions and settings where people work so that questions that spark change — what we call “catalytic” questions — can emerge. This pushes leaders out of their comfort zones and into the position of being intellectually wrong, emotionally uncomfortable, and behaviorally quiet and more reflective, all of which, it turns out, promotes innovative thinking and action.

Page-utils class= article-utils—vertical hide-for-print data-js-target= page-utils data-id= tag: blogs.harvardbusiness.org, 2007/03/31:999.356809 data-title= AI Can Help You Ask Better Questions — and Solve Bigger Problems data-url=/2023/05/ai-can-help-you-ask-better-questions-and-solve-bigger-problems data-topic= Technology and analytics data-authors= Hal Gregersen; Nicola Morini Bianzino data-content-type= Digital Article data-content-image=/resources/images/article_assets/2023/05/May23_26_887787366-383x215.jpg data-summary=

Early adopters of AI in business should embrace this change and give it a big hug because those who don’t will lose a step.