THINK 2018: Unabhängige Einschätzungen zu Quantum, Blockchain, Watson und mehr

Die THINK 2018 in Las Vegas ist Geschichte. Vergangene Woche haben sich über 30.000 Besucher zur größten IBM Konferenz getroffen. Wir haben mit einer Live-Schaltung und in Artikeln zu IBM Automation, zur rund um Machine Learning erneuerten Allianz mit Apple und IBM Watson Assistant berichtet. Für Neuigkeiten zu den Collaboration-Produkten der IBM verweise ich auf den Beitrag von Dr. Peter Schütt.

Natürlich gab es bei einer solch umfassenden Veranstaltung noch viele andere Nachrichten. Hier habe ich einige Stimmen zu Aspekten und Ankündigungen der THINK und zu IBM ausgewählt, die wir (noch) nicht in Tiefe behandelt haben, rein subjektiv aus meinem Reader ausgewählt.

schreibt auf ZDNet:

AI has morphed into an entire market ecosystem that, as we pointed out earlier this week, includes lots of the brand names, applications, and tools that most enterprises are already using. The case against IBM was that its cognitive computing approach required too long an onramp for delivering results.

Going forward, IBM has changed its branding, and Watson is no longer singularly synonymous with the cognitive flavor of AI. While Cognitive is still very much in IBM’s wheelhouse, Watson now stands for any IBM product or service that embeds AI.

 

via IBM Think 2018 postmortem: Making incumbent enterprises great again | ZDNet

Jason Bloomberg, President of industry analyst firm Intellyx, stößt auf Forbes ins gleiche Horn. In der Vergangenheit sei der Hinderungsgrund für ein größeren Erfolg von Watson die notwendige Anlernphase gewesen. Das habe sich nun durch vorgefertigte vertikale Vorlagen und Deep Learning-Technologien geändert. Der kritische Kipppunkt sei erreicht:

Over the last several years, IBM has struggled to deliver value with Watson, but with this year’s Think conference, the offering has visibly passed a critical tipping point.

As my article on Watson from last year pointed out, the technology’s greatest challenge has long been the vast amount of time and expertise necessary to prepare data for processing by the AI platform.

By leveraging deep learning technologies as well as increasingly mature, pre-trained industry ‘assistants,’ Watson has largely overcome these challenges.

via IBM Bets Company On Exponential Innovation In AI, Blockchain, And Quantum Computing

Jason geht dann auf Blockchain und die Initiativen der IBM mit Maersk in der Logistik und Walmart in der Lieferkette von Nahrungsmitteln ein:

…, the focus of Big Blue’s blockchain efforts are all business. “We’re focusing on permissioned blockchain with modular components,” explains Marie Wieck, General Manager of IBM’s blockchain division. “The goal is enterprise-grade productivity.”Because a blockchain is an inherently decentralized shared ledger, neither IBM – nor anyone else – can be a central clearinghouse for the technology. “The most important thing about blockchain is that it’s a team sport,” Wieck adds.

To get an enterprise-class blockchain implementation off the ground, therefore, IBM has been investing its resources into two industry ecosystems, by partnering with Walmart on a food safety initiative and Maersk on a global logistics effort.

…, there must be enough participants in each network for other participants to have a business reason to join.

via IBM Bets Company On Exponential Innovation In AI, Blockchain, And Quantum Computing

Auch Quantum Computing spielte eine prominente Rolle auf der THINK und ich teile Jasons Einschätzung:

At Think, IBM proudly showed of IBM Q, a family of working quantum computers up and running in the IBM Cloud for anyone to program.

Practical uses of the technology are still in the future, but putting the technology in the hands of developers is an important milestone, not just for IBM, but for the nascent quantum computing industry as a whole.

Perhaps the high point of the IBM Q demonstration was a glimpse into how to program such systems – an entirely different skillset than programming a classical computer.

via IBM Bets Company On Exponential Innovation In AI, Blockchain, And Quantum Computing

Tony Baer hebt in seinem Beirag auf IBM Cloud Private for Data und Watson Studio ab:

Among the headlines are IBM Cloud Private for Data and Watson Studio, … Cloud Private for Data is actually the first purpose-built product on the private cloud platform that was first released last fall.

… But it is clear that it adheres to cloud-native design principles by deconstructing IBM monolithic data integration products into containers and microservices for running database, federated query, data cataloging, data lifecycle management, predictive modeling, dashboards and reporting, and other services.

Complementing Cloud Private for Data is the newly released Watson Studio, which is a 2.0 rethink of Watson Data Platform and Data Science Experience. It provides a more visually integrated user experience;

via IBM Think 2018 postmortem: Making incumbent enterprises great again | ZDNet

Zum Abschluss nochmals Jason Bloombergs Schlusswort in seinem Beitrag. Genau diese Einschätzung liest man in vielen anderen Artikeln:

In the final analysis, while IBM clearly has more work to do, it’s on the right track. Its investments in cloud and AI are already paying off, while blockchain and quantum computing bets are looking promising.

… Rometty has shown the willingness to take the massive risks necessary for IBM to be the incumbent disruptor it needs to be to compete in the dynamic business environment of the 21st century.

via IBM Bets Company On Exponential Innovation In AI, Blockchain, And Quantum Computing

(Stefan Pfeiffer)

 

 

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