Thursday, 13th December 2018
NEWS

Global financial services industry bullish towards disruptive technology

Two thirds of financial services executives say disruptive technologies will have a positive impact on their business .

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NEWS

Retailers face major risks to business without AI and automation

Research from Blue Yonder, a JDA Company, in collaboration with Microsoft finds vast majority of brick and mortar retailers rely on manual intervention for core business processes such as replenishment and pricing.

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NEWS

SaaS integration platform leverages AI and ML

GigaSpaces' InsightEdge has been selected by Magic Software Enterprises to power their Magic xpi end-to-end integration platform. This integration will enable companies to make faster and smarter data-driven decisions to boost revenues, reduce costs, and mitigate risks.

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NEWS

Businesses set to miss out on the true benefits of automation

New Capgemini report reveals that upskilling programs help fulfil automation’s productivity potential, saving organizations millions of dollars a year.

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NEWS

OutSystems expands AI and ML initiative

Low-code development leader announces new AI-powered features, executive hires, and partnership with Carnegie Mellon University.

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NEWS

Automate or die?

Automation enables agility, increases speed, and drives top-line revenue while freeing up resources and budgets to focus on more strategic tasks

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Two thirds of financial services executives say disruptive technologies will have a positive impact...
Low-code development leader announces new AI-powered features, executive hires, and partnership with...
Cloud Technology Solutions (CTS) has merged with application development and machine learning specia...
By 2020, nearly 40 percent of European organisations plan to deploy artificial intelligence and bloc...
New report suggests organizations are missing a huge opportunity in automation by focusing on operat...
Capgemini's World Quality Report 2018 shows that customer experience is the top priority for quality...
Latest Video

LinkedIn Automates All of the Easy Things, and Makes all of the Hard Things Easy

Hear LinkedIn’s senior SRE, Todd Palino, share how the company continually improves the state of its infrastructure, so that the developers who are rolling out applications have a framework that they can do it within, and they can do it safely. LinkedIn currently generates over 50 terabytes a day of unique metrics on applications. No human is going to look at 50 terabytes a day of data and get anything useful out of it, so LinkedIn relies on systems give them some useful signal out of all that noise. By moving down the road of machine learning, LinkedIn can now do anomaly detection using machine learning models.

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