I could not be stronger in my endorsement of the move to two independent companies and look forward to the changes in the market. The action simplifies and optimizes Big Blue’s operating model, enabling speed and growth in IBM and NewCo. This most recent action in Big Blue’s strategic growth transformation over the past few years is significant. If it results in the increased execution capabilities that I expect, I think competitors in both business spaces need to take this very seriously. Two IBMs, which are unconflicted, are truly formidable. This separation of the businesses will bring much more formidable competition to the marketplace. So, it is a win-win-win, across the IBM spectrum. With the two businesses no longer combined, the stockholders will benefit. Paul Smith-Goodson explores the end-to-end features and capabilities of IBM Quantum Safe Technology and examines its usefulness in identifying non-quantum-safe encryption and replacing them with. Arguably, by combining them (as was the case before this announced separation), the stockholders faced less value. This move is great from a stock perspective because a technology-based company’s value rather than a services-based company’s value is usually much higher. It will also accelerate their career opportunities. The separation into two independent companies simplifies their work lives and will allow them to execute better. The move is great for IBM employees, as they struggled with the internal operating conflicts between the two different businesses. Now, both organizations can deliver even more excellence because they will no longer be conflicted in their paths and focus. The separation into two companies frees IBM to operate at its best in both the legacy modernization space and in the open source and AI transformation space. It requires time to accomplish, requires disciplines and a different level of change management that is unlike partnering services for helping customers move down the open cloud platform and AI route. But its legacy infrastructure business required that the firm operate with stability and discipline.įurthermore, the business engaged in modernizing and migrating customers’ legacy infrastructures to the cloud. For its AI and open source cloud platform business, IBM needed to be an agile IP-based firm. Fundamentally, the businesses tried to do different kinds of operations, made decisions and investments differently and partnered with customers differently. It was confusing for services customers with both businesses under one roof.
#Ibm news explorer matteo full
This is pretty complicated, too, so I'll leave you with a relevant paper: Twitter-Network Topic Model: A Full Bayesian Treatment for Social Network and Text Modeling.Let’s consider in more detail the implications for all IBM stakeholder groups as well as its competitors. The textual content, such as it is, won't play nice with these embedding algorithms, but you have hashtags and strong social signals mentions, retweets, and follows.
The idea is to attach a number (or rather, a vector) to everything from a word to a document. There were some growing pains as it shifted toward a hybrid cloud business strategy. If all that sounds Chinese to you, start by reading about "named entity recognition", and "word embeddings". Dive Brief: IBM’s hybrid cloud revenue topped 22 billion last year, an increase of 11 over the previous year, the tech company said in its FY-2022 Q4 earnings report for the period ending Dec. If the graph is too dense, thin out the weaker edges. Once you have the embeddings, and the edges (thanks to NER), use a graph layout algorithm like force direction. If I had to do this I would use a named entity recognition (NER) and document embeddings (doc2vec, etc.). There are a lot of things going on here, but k-means is not one of them.
They've created a graph from the news articles, topics, and named entities (locations, persons, companies, organizations).
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