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In the world of financial technology, AI poses questions, heightens efficiency, and encourages ingenuity

This article was written based on discussions from the latest Bloomberg Women in Fintech event. To learn more about the series, please email [email protected]

While AI has been a buzzword for some time, the uncertainty and rapid changes stemming from the global pandemic have brought the technology’s benefits and challenges to the forefront. Within the multitude of applications, several focus areas are helpful for the fintechs in particular, keeping in mind how humans and AI can work together to empower the other.

The opportunities for AI to both assist in a tumultuous working environment and heighten human efficiency were under discussion at the latest panel hosted by Bloomberg’s Women in Fintech. There are many details to consider with a constantly evolving technology, particularly surrounding bias and security, but according to panelists, it is essential that companies look to integrate AI holistically, ensuring automation bolsters their business and empowers employees to

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Cisco and ThousandEyes to enable visibility across the internet as the ‘new network’

2020 has been a year not quite like any other for ThousandEyes Inc., a network intelligence company that produces software that analyzes the performance of local and wide area networks. Cisco Systems Inc. completed acquiring the company in August, and this took place in the midst of dealing with a pandemic where people worked from home and the internet became crucial for network operations and automation for companies across the globe.

So how is this acquisition moving forward into the continuing digital transformation?

“It’s really been an exciting six months for ThousandEyes,” said Joe Vaccaro (pictured), vice president of product at ThousandEyes. “That change [of the pandemic] alone really … amplified even some of the fundamental beliefs that we have as a company. That cloud is becoming the new data center for customers, that internet has become the new network and the new enterprise network backbone, and that SaaS has

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AI in Computer Vision Market Research Report by Component, by Vertical – Global Forecast to 2025 – Cumulative Impact of COVID-19

The MarketWatch News Department was not involved in the creation of this content.

New York, Sep 18, 2020 (GLOBE NEWSWIRE via COMTEX) —
New York, Sept. 18, 2020 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “AI in Computer Vision Market Research Report by Component, by Vertical – Global Forecast to 2025 – Cumulative Impact of COVID-19” – https://www.reportlinker.com/p05953138/?utm_source=GNW

The Global AI in Computer Vision Market is expected to grow from USD 3,285.69 Million in 2019 to USD 10,968.63 Million by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 22.25%.

Market Segmentation & Coverage:
This research report categorizes the AI in Computer Vision to forecast the revenues and analyze the trends in each of the following sub-markets:

“The Services is projected to witness the highest growth during the forecast period”

Based on Component, the AI in Computer Vision Market studied across Hardware, Services, and

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How Green Is Your Software?

Illustration by Ricardo Tomás

Without doubt, software is the backbone of virtually all the intelligent solutions designed to support the environment. It’s critical, for example, in efforts to tackle deforestation and reduce emissions. In many instances, however, software is also part and parcel of a rapidly growing carbon footprint. In fact, recent and proliferating digital technologies have begun to worsen many of the environmental problems they are aimed at solving. But companies can make software an integral part of their sustainability efforts by taking its carbon footprint into account in the way it is designed, developed, and deployed and by rethinking some aspects of how the data centers that provide cloud-based services operate.

Let’s be clear: On its own, software doesn’t consume energy or emit any harmful discharge. The problem lies in the way software is developed for use — and then in the way it is used. Software runs

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