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GlobalData reveals top 10 global M&A financial advisers in Asia-Pacific during coronavirus-hit Q1 2020

GlobalData has
revealed the latest mergers and acquisitions (M&A) league table of the top
10 financial advisers in Asia-Pacific by value and volume for the
coronavirus-hit first quarter (Q1) of 2020, which witnessed subdued deal
activity in the region.

JP Morgan leads by both value
and volume

JP Morgan
has dominated the M&A financial advisers league table based on both deal
value and volume during the review period. In terms of value, the American investment
bank advised US$20.1bn worth deals in Q1 2020.

which tracks all M&A, private equity/venture capital and asset transaction
activity around the world to compile the league tables, confirmed that Deloitte
occupied the second position with six transactions worth US$12.0bn.

JP Morgan stood at second position in
GlobalData’s recently released global
league table of top 20 M&A financial advisers

In terms
of deal volume, JP Morgan advised on eight deals worth US$20.1bn in Q1 2020. The
bank advised on eight deals during the review period.

revealed that PwC occupied the second position with transactions worth

Ravi Tokala, Financial Deals Analyst at GlobalData, comments: “Despite the overall deal activity (volume) declining among other regions, Asia-Pacific bound total deals volume increased by 3.43% in first quarter of 2020. Interestingly, the number of deals targeting Chinese companies or assets represent about 31.54% of the overall deal volume recorded in the region.

“However, the region recorded a decrease of 9.94% in deal value terms due to the absence of big-ticket and high value transactions, which could be attributed to Covid-19 concerns.

“JP Morgan
emerged as the clear winner in value terms in the region, maintaining a
significant lead over rest of the advisors. However, in volume terms, there was
tough competition between JP Morgan and PwC for the top spot, with the former
taking lead by a mere one transaction.”

deals market in Q1 2020

The deal volume in Asia-Pacific
saw a year-on-year increase by 3.43% from 2,711 to 2,804 in Q1 2020. During the
same period, deal value declined by 9.94% from US$128.3bn to US$115.5bn.

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PepsiCo set to capitalise on $18.2bn US energy drink market through Rockstar Energy acquisition, says GlobalData

Following the recent news that PepsiCo is set to buy Rockstar Energy Beverages for $3.8bn, making it the third largest energy drink supplier in the US;

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Apple buys edge-based AI startup for a reported $200M, spun off in 2017 from the nonprofit Allen Institute for AI (AI2), has been acquired by Apple for about $200 million. A source close to the company corroborated a report this morning from GeekWire to that effect.

Apple confirmed the reports with its standard statement for this sort of quiet acquisition: “Apple buys smaller technology companies from time to time and we generally do not discuss our purpose or plans.” (I’ve asked for clarification just in case.) began as a process for making machine learning algorithms highly efficient — so efficient that they could run on even the lowest tier of hardware out there, things like embedded electronics in security cameras that use only a modicum of power. Yet using Xnor’s algorithms they could accomplish tasks like object recognition, which in other circumstances might require a powerful processor or connection to the cloud.

CEO Ali Farhadi and his founding team put the company together at AI2 and spun it out just before the organization formally launched its incubator program. It raised $2.7M in early 2017 and $12M in 2018, both rounds led by Seattle’s Madrona Venture Group, and has steadily grown its local operations and areas of business.

The $200M acquisition price is only approximate, the source indicated, but even if the final number were less by half that would be a big return for Madrona and other investors.

The company will likely move to Apple’s Seattle offices; GeekWire, visiting the offices (in inclement weather, no less), reported that a move was clearly underway. AI2 confirmed that Farhadi is no longer working there, but he will retain his faculty position at the University of Washington.

An acquisition by Apple makes perfect sense when one thinks of how that company has been directing its efforts towards edge computing. With a chip dedicated to executing machine learning workflows in a variety of situations, Apple clearly intends for its devices to operate independent of the cloud for such tasks as facial recognition, natural language processing, and augmented reality. It’s as much for performance as privacy purposes.

Its camera software especially makes extensive use of machine learning algorithms for both capturing and processing images, a compute-heavy task that could potentially be made much lighter with the inclusion of Xnor’s economizing techniques. The future of photography is code, after all — so the more of it you can execute, and the less time and power it takes to do so, the better.

It could also indicate new forays in the smart home, toward which with HomePod Apple has made some tentative steps. But Xnor’s technology is highly adaptable and as such rather difficult to predict as far as what it enables for such a vast company as Apple.

Source: TechCrunch