Posted on: April 13, 2021 Posted by: Anna Lee Comments: 0

Microsoft Chief Government Officer (CEO) Satya Narayana Nadella speaks at a reside Microsoft occasion within the Manhattan, N.Y., October 26, 2016. (Lucas Jackson/Reuters)

Welcome to the Capital Notice, a publication about enterprise, finance, and economics. On the menu in the present day: the historical past of Nuance’s Dragon model, J&J vaccine halted, Jack Ma capitulates, and W. Brian Arthur on “Economics in Nouns and Verbs.” To enroll in the Capital Notice, observe this hyperlink.

Dragon 2.0
Yesterday, Microsoft introduced a $16 billion acquisition of language-processing agency Nuance Communications, the most recent in a string of big-ticket offers closed by CEO Satya Nadella, who spearheaded the purchases of LinkedIn and Github, amongst others.

With the addition of Nuance’s cutting-edge language-processing know-how (the lion’s share of which is within the health-care sector), Microsoft hopes to beef up its enterprise cloud providing. Nuance’s Dragon Ambient eXperience (DAX), launched final yr, has gained widespread traction amongst physicians and nurses for medical documentation, permitting docs to legibly dictate their notes.

Whereas Nadella forged the deal as transformative, it’s not the primary time Microsoft has guess on Dragon–model speech-processing know-how. A long time in the past, Microsoft misplaced thousands and thousands on an funding in Lernout & Hauspie Speech Merchandise (L&H), then the company proprietor of an early model of Nuance’s speech-processing know-how. Based in 1987, L&H grew to a valuation of almost $10 billion by 2000 by way of aggressive M&A, together with acquisitions of Berkeley Speech Applied sciences, Globalink, Dictaphone, and, in mid 2000, Dragon Techniques — the birthplace of Nuance’s Dragon model. Shortly thereafter, on the top of the Dotcom bubble, the corporate was revealed as a fraud:

[L&H] improperly reported income from barter offers with different software program companies wherein no money modified fingers; instantly acknowledged income for gross sales that had been contingent on L&H later performing growth work for the shopper; and typically reported gross sales earlier than contracts had been signed, when it was unclear the shopper had the power to pay or when the shopper’s potential to pay relied on funding from L&H.

On the time of L&H’s chapter, Microsoft owned 5 p.c of the corporate’s shares, with Intel and Michael Dell additionally left holding the bag. James and Janet Baker, the founders of Dragon Techniques, misplaced most of their internet value after accepting L&H’s all-stock provide:

The company takeover of Dragon Techniques in an all-stock deal went terribly mistaken. [The founders] misplaced the whole lot when Lernout & Hauspie was revealed to be a spectacular fraud. L.& H. had been based by Jo Lernout and Pol Hauspie, who had as soon as been hailed as stars of the Nineteen Nineties tech growth.

They’re broadly credited with advancing speech know-how far quicker than anybody thought doable, primarily due to an epiphany Mr. Baker had whereas doing his doctorate analysis. He discovered that speech recognition may, in essence, be decreased to math. You didn’t have to show a pc to acknowledge accents or dialects, Mr. Baker realized — you simply needed to calculate the mathematical likelihood of 1 sound following one other. His algorithms proved remarkably correct and ultimately grew to become the trade commonplace. (Need to know extra? Ask Siri.)

The Bakers based Dragon Techniques in 1982 in an outdated Victorian home in West Newton, Mass. At the moment, regardless of having two school-age youngsters and a giant mortgage, they had been decided to take no enterprise capital and to finance the corporate’s development with its personal income — as soon as they’d a product. They figured they might final 18 months, possibly 24.

Quickly thereafter, the Bakers created DragonDictate, a speech-to-text product akin to a primitive model of Apple’s Siri. After greater than 15 years creating software program, Dragon wanted extra capital and accepted an all-stock merger provide from the aforementioned L&H.

The botched sale was a reside difficulty as just lately as 2013, when the Bakers took their Goldman Sachs bankers to court docket, alleging that the dealmakers had not carried out ample due diligence on the corporate. Goldman gained the swimsuit at trial.

L&H would find yourself being bought by ScanSoft, which merged with Nuance Communications in 2005. Quick-forward 16 years, and the Dragon model — many instances recycled and remade — has ended up again within the fingers of Microsoft. Such is the lengthy arc of technological progress.

Across the Internet
FDA halts use of Johnson & Johnson vaccine

Federal businesses will name to briefly droop the usage of Johnson & Johnson coronavirus vaccines, after six recipients of the vaccine developed a blood clotting dysfunction.

Virtually seven million Individuals have acquired the Johnson & Johnson vaccine, which is run in a single dose. Six recipients, all of them ladies between ages 18 and 48, developed an especially uncommon clotting dysfunction, often known as cerebral venous thrombosis.

Jack Ma’s Ant Group transformed to financial-holding firm after regulatory crackdown

In an announcement, the Individuals’s Financial institution of China mentioned Ant representatives had been summoned to a gathering Monday with 4 regulatory businesses that additionally included the nation’s banking, securities and foreign-exchange overseers. It mentioned a “complete, viable rectification plan” for Ant has been formulated underneath the regulators’ supervision over the previous few months.

The directive follows an intense regulatory assault on Mr. Ma’s enterprise empire that started with the suspension of the corporate’s blockbuster preliminary public providing in November. Ant had been on observe to promote greater than $34 billion value of inventory and record on inventory exchanges in Hong Kong and Shanghai, when Beijing pulled the plug on the deal after Mr. Ma criticized monetary regulators in a public speech.

John Cochrane on in the present day’s CPI launch

To the extent that we’re simply seeing “reflation,” a return of costs to regular after a steep covid-induced recession, the graph means that was over final summer time. “Reflation” was over by September. . . .  Reflation was over final fall and that is one thing new.

Random Stroll
Economist W. Brian Arthur just lately printed a paper known as “Economics in Nouns and Verbs” arguing for extra agent-based financial modeling. It’s value studying in full, however right here’s an excerpt:

Let me start by mentioning that economics offers with costs, portions produced, consumption, charges of curiosity, charges of change, charges of inflation, unemployment ranges, commerce surpluses, GDP, monetary property, Gini coefficients. These are all nouns. The truth is, they’re all quantifiable nouns — quantities of issues, ranges of issues, charges of issues. Economics as it’s formally expressed is about quantities and ranges and charges, and little else. This assertion appears easy, trite virtually, however it is just apparent whenever you pause to note it. Nouns are the water economics swims in.

After all in the actual financial system there are actions. Traders, producers, banks, and customers act and work together incessantly. They commerce, discover, forecast, purchase, promote, ponder, adapt, invent, convey new merchandise into being, begin firms. And these in fact are actions—verbs. Elements of economics—financial historical past, or enterprise reporting—do cope with actions. However in formal discourse in regards to the financial system, within the idea we be taught and the fashions we create and the statistics we report, we deal not with verbs however with nouns . . .

So why then is economics noun-based? One good purpose is that any area, be it musicology or jurisprudence or structure, because it turns into theoretical, tends to categorize and marshal its pondering into ideas and infrequently these ideas are nouns. They’re actual or summary issues. However this may solely be a partial rationalization. Ideas don’t should be nouns, they can be verbs—processes—as is true in biology, so one thing else have to be at work.

That one thing else, I consider, is that formal economics — theoretical economics — is expressed very largely in algebraic arithmetic, a language that enables quantitative nouns solely, however doesn’t permit actions.

— D.T.

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