Accenture

AUGUST 4, 2016

Financial firms looking to deploy big data to drive better business are, in my opinion, making the right move. Accenture’s paper on the topic, Exploring Next Generation Financial Services: The Big Data Revolution, outlines some of the gains of working. Read more.

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PYMNTS

JULY 7, 2020

Founded in 2004 by CEO Alex Karp and venture capital tycoon Peter Thiel, Palantir specializes in Big Data, working with major corporations and government agencies to crunch large volumes of information. Securities and Exchange Commission (SEC) informing the agency of its plans.

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Insights on Business

JUNE 27, 2018

Continued innovation in big data technology makes it possible to extend it into new sectors, such as risk management. The result is the ability to compute risk analytics on larger volumes of more complex data in a much shorter timeframe. Integrating big data technology with risk management for a complete solution.

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PYMNTS

JUNE 10, 2019

Excuse the verbosity, but there is a point: Digital technology and big data are transforming one of the most ancient forms of communication, writing – and in a way that could impact pretty much every business within a decade or so. Big data and digital technology promise to fuel the next progressions for this communication method.

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PYMNTS

DECEMBER 20, 2017

Thus, in the age of Big Data, how to ensure that time and money are well-spent? But reaching out involves time and money — both precious commodities. Neither is good to waste.

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Bank Innovation

SEPTEMBER 8, 2016

The technology presented ranged from the latest in biometrics, including voice and facial recognition, the latest in how to create insights for big data use–and Read More. Today FinovateFall debuted in New York, where thirty-nine fintech companies debuted their newest toys to an appreciative, fintech-hungry audience.

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Accenture

JANUARY 8, 2016

Some big themes dominate Payments today, and each is likely to endure for many years. Sibos 2015 in Singapore brought them into sharp focus – specifically: Big Data Analytics, Cyber-security, Bank & FinTech Hubs, Cryptocurrencies/Blockchain Technology, Trade Finance and APIs. Read more.

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PYMNTS

MARCH 7, 2018

We humans can’t respond to the immense amount of information that is being collected in real time, but by using Big Data analytics of data in motion, as it’s being created, this information can immediately become actionable. Big Data projects can be production-ready in as little as 60 days, he said.

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Accenture

MARCH 18, 2016

Banks are relying more and more upon Big Data and analytics to transform their distribution and marketing strategies. In our research into how high-performing companies (those that deliver above-average business performance on a consistent basis) approach analytics, we found that. Read more.

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PYMNTS

AUGUST 29, 2016

Intuit is seeking to expand its QuickBooks unit in two directions: towards small businesses and towards Big Data. “We are using machine learning to help identify the types of data, services and tools that a small business needs,” Pai continued. This will be combined with external data sources.”

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PYMNTS

MAY 27, 2016

Big data, big data, big data. We all know the term, understand its significance and have seen plenty of examples across the industry of how businesses are utilizing massive amounts of data (and the applied analytics needed to make sense of it all) as a competitive edge in the market.

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PYMNTS

DECEMBER 4, 2017

Bank and Visa co-hosted the “Big Hack for Small Business” hackathon over the weekend, with the winner emerging as Big Data 4 Small Business. The team at Big Data 4 Small Business developed a solution that Visa said offers merchant-defined, enrichment-promoting analytics tailored to retailers.

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Bobsguide

DECEMBER 12, 2018

A few weeks ago, two giants of the big data Hadoop era, Cloudera and Hortonworks, announced they would be merging. The announcement claimed it would be a “merger of equals.” ” It is fascinating to see these two groundbreaking pioneers coming together. I remember several years ago when.

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PYMNTS

AUGUST 10, 2016

Big Data management firm MapR is looking to go public, but before it does, the company announced a big funding round. 9) said MapR Technologies raised $50 million from several big-name backers. Reports on Tuesday (Aug. American Express, Qualcomm and other major corporations already use MapR services.

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PYMNTS

MAY 10, 2018

To reduce markdowns and break out of a lull in sales, H&M is turning to artificial intelligence (AI) and Big Data to tailor its merchandising mix in its brick-and-mortar stores.

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PYMNTS

JUNE 20, 2017

But Big Data lands new capabilities in the hands of corporate treasurers and other executives that yields active, real-time assessments of risks from multiple angles, from counterparties to compliance. A weak data management strategy could heighten the risk of non-compliance.

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PYMNTS

MAY 15, 2019

Flexibility and adaptability of data analytics technologies like machine learning are key in today’s volatile climate, but Rastogi noted another key factor essential to effective supply chain optimization strategies. “How can I analyze data in real time, and make decisions faster?”

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Celent Banking

JULY 21, 2015

The crux of the presentation was the benefits of big data and cognitive analytics for financial markets. But what were not discussed are the daunting challenges and complexities a bank will face in implementing and managing a big data project. What value do you see from your big data program? It’s not easy.

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Bobsguide

NOVEMBER 27, 2018

Legacy platforms will not hold incumbent banks back as the industry becomes more focused on big data possibilities, according to Dan Bolland, director of banking at KPMG. “I understand what they are saying but the reality is, in Ireland there are really two big players, in the UK there are.

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BankNXT

MARCH 10, 2017

Big data, big insights or big problems? Do you have a healthy big data culture? Dimitri Anagnostopoulos asks, are you sure you're ready to embark on such an initiative? on BankNXT.

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Let's Talk Payments

DECEMBER 8, 2017

Worldwide revenues for big data and business analytics will grow from $130.1 billion in 2016 to more than $203 billion in 2020, at a CAGR of 11.7%, IDC estimated. “The.

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PYMNTS

JANUARY 19, 2017

The rise of Big Data means that firms can use technology to pinpoint weaknesses in workflow that stretch across back-office functions, in invoicing to receivables management, and up and down supply chains as firms interact with vendors, timed deliveries and shipments.

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PYMNTS

JUNE 14, 2016

Small firms need data. And Big Data has been growing, well, hugely. The movement toward the cloud has simplified embracing new technologies but only somewhat, as the options tied to Big Data, in terms of methodologies and platforms, have grown as well.

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PYMNTS

JANUARY 17, 2018

During the three-day event, retail industry leaders discussed artificial intelligence, Big Data and automation. Drawing more than 600 exhibitors, the convention featured sessions with leaders from Walmart, Best Buy, Neiman Marcus and other big-name merchants.

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PYMNTS

FEBRUARY 10, 2017

The Federal Trade Commission had a busy year in 2016, surveying consumers about buying and financing car purchases, issuing a report aimed at helping businesses harness the power of Big Data without discriminating and also taking a hard look at the FinTech market and its implications for consumers.

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PYMNTS

SEPTEMBER 2, 2016

Big Data and analytics firm Planixs is entering further into the financial services market with help from Infor , a company that builds applications for an array of verticals, including FinServ. An announcement on Thursday (Sept.

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PYMNTS

MAY 11, 2018

Big Data offers the enterprise a world of opportunity to improve processes and save money. But the aggregation of troves of data points is a monumental task – let alone sorting, analyzing and making sense of that information. Today, businesses of all sizes are still challenged by the prospect of making sense of Big Data.

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NCR

AUGUST 1, 2017

The answer comes down to understanding that AI is an umbrella name for multiple technologies built on big data and neural networks. The progress of big data powered algorithms in banking will be slower compared to other areas such as retail and marketing, due to increased regulations. Defining AI for banking.

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PYMNTS

APRIL 7, 2017

This week, the two countries were the only markets that landed on the B2B venture capital board, with funding landing at SaaS, Big Data and procurement startups across a range of industries, from corporate social media management to marijuana procurement. B2B FinTechs in the U.S. and India seem to be an unshakable force these days.

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PYMNTS

OCTOBER 7, 2016

Traditional banks now realize the value in working with FinTech startups, augmenting their own service offerings by integrating the innovations of others.

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PYMNTS

MARCH 2, 2016

But, in that interview, he also pointed out some issues with Big Data, the future of financial lending and even pointed out what the biggest risks to payments are. That led into some comments about Big Data and lending. “And it’s just credit data enhanced, by the way, which we do, too. It’s nothing mystical.

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CFPB Monitor

FEBRUARY 4, 2016

This will follow up on Barbara Mishkin’s January 14, 2016 blog “FTC warns use of big data may violate federal consumer protection laws.” The CFPB will more closely scrutinize the use of big data when it is used to deny credit in the first instance. A registration link appears here.

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Payments Source

MARCH 6, 2020

The challenge has been aligning the data-sharing ecosystem in a way that simplifies access and enhances consumer control while ensuring a high level of security, says Finicity's Steve Smith.

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FICO

MAY 6, 2021

Now I’d like to describe the capability of developing big data characteristics characteristics from the data, how important this capability is for a financial platform and how banks can use this capability to boost the value received from the data they can access.

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Payments Source

DECEMBER 1, 2020

With the globe pivoting to e-commerce during the ongoing coronavirus pandemic, an array of new opportunities have arisen for fraudsters, and merchants have found themselves being increasingly hit by different forms of chargeback fraud.

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Bobsguide

JULY 28, 2016

Banks in particular realise that advanced data and analytics technology could provide solutions to some of their biggest challenges such as, retaining customers, keeping up with competition, compliance and tackling fraud. Big data presents lots of opportunities for companies to personalise the.

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The Financial Brand

NOVEMBER 7, 2021

The post Six Big-Data and AI Trends in Banking for 2022 appeared first on The Financial Brand - Banking Trends, Analysis & Insights. What financial institutions need to know to create the kind of consumer experience that provides a competitive edge.

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