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PROMISE OF VALUE DRIVES BUSINESS TO SOLVE AI PUZZLE, SAS REVEALS

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PROMISE OF VALUE DRIVES BUSINESS TO SOLVE AI PUZZLE, SAS REVEALS

Research shows healthy adoption of AI as it bolsters customer experience and the bottom line

With the trend towards Artificial Intelligence (AI) advancing, there is a sense of confusion surrounding business leaders about how it is being used and how to take advantage of its potential. Independent research from SAS, the leader in analytics, has revealed that while nearly two-thirds (65 per cent) are convinced AI can generate value for their business, nearly half (46 per cent) are being held back by concerns around AI still being in its infancy.

Nearly a third (30 per cent) of companies are not sure if they are ready for the technology, citing concerns over a lack of required skills (66 per cent), ROI (55 per cent) and fears over stories of AI malfunctioning (38 per cent). Many also expressed reservations over the cost of solutions (39 per cent) and lack of trust in the technology (36 per cent), reinforcing fears that AI would not deliver sufficient ROI.

Yet, despite the misgivings that impede its implementation, businesses are broadly ramping up their investment into AI and expanding its use to enhance customer-facing services, often without realising it. More than three-quarters (77 per cent) of businesses claim to be actively using AI in marketing, communications or customer service. Of those that don’t currently use it, 37 per cent are planning to adopt the technology within the next two years.

“Whether we realise it or not, AI has already arrived. From financial services to retail, AI has become more commonplace and we are seeing its use progress from solely back-office support to increasingly front-end, customer-focused roles,” said Peter Pugh-Jones, Head of Technology, SAS UK & Ireland. “With the ability to unlock accurate insights from vast amounts of data – in near real-time where required – AI is the key to providing the exceptionally responsive and personalised experiences that customers are demanding and businesses are seeking to deliver.”

Almost two-thirds (62 per cent) of millennials admit they would gladly use automated customer service systems if they provided a better or quicker service. And nearly a quarter (23 per cent) of consumers would be happy to let robots choose, purchase and deliver gifts to their friends and family at Christmas. To meet customers’ expectations, AI is being used to analyse massive volumes of data and supplement consumer-brand conversations. In total, 41 per cent of businesses are using AI-enabled chat bots to respond to common customer service requests and engage with customers more frequently and on-demand but without increasing labour costs.

AI is also becoming the computerised extra that aids businesses in drawing insights from large amounts of customer data and use it to build meaningful relationships and personalised experiences. Nearly a third (30 per cent) are using AI to proactively interact with customers based on their behaviour and mood. A larger proportion (36 per cent) are using AI to build more meaningful relationships with their customers by targeting them with relevant messaging and offers at the right moment, and even predict how their customers will respond or act. With the ability to analyse large datasets concerning the digital footprint of individual customers, AI can translate the results into natural language to provide a human-like medium for meeting customer expectations on-demand.

However, to use AI effectively requires good sources of data and proper data management processes in place. With the velocity and volume of customer data increasing, organisations need to use advanced analytics to automatically derive insights from historical data and use it to predict what is likely to happen in the future. Reflecting this, over a third (37 per cent) of businesses believe analytics provides the data to enable AI systems to respond in the moment.

“We can now generate what was once unimaginable volumes of data of all varieties, and even apply analytics to that data as it is being generated.  However, the concept of machine learning where we programme machines to understand, learn and improve algorithms applied to that the data is not a new one,” said Pugh-Jones. “However, what’s needed to take AI and machine learning to the next level is a scalable, advanced analytics platform, where accurate insights can be quickly extracted from all the data. This gives organisations both the fuel and the engine to begin experimenting with AI and successfully explore the boundaries of what is possible.”

Information in this release is based on research that SAS has completed of 300 senior IT and business decision makers and 350 heads of marketing, customer service, digital and data across the UK exploring attitudes and adoption of AI. It also includes insights from online surveys of 2,000 consumers across the UK aged between 16 and 34, and 1,000 adults exploring their preferences and behaviours when interacting with brands. The most recent of this research was captured in The Age of Now: Creating real-time customer engagement.

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‘Spooky’ AI tool brings dead relatives’ photos to life

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'Spooky' AI tool brings dead relatives' photos to life 1

By Umberto Bacchi

(Thomson Reuters Foundation) – Like the animated paintings that adorn the walls of Harry Potter’s school, a new online tool promises to bring portraits of dead relatives to life, stirring debate about the use of technology to impersonate people.

Genealogy company MyHeritage launched its “Deep Nostalgia” feature earlier this week, allowing users to turn stills into short videos showing the person in the photograph smiling, winking and nodding.

“Seeing our beloved ancestors’ faces come to life … lets us imagine how they might have been in reality, and provides a profound new way of connecting to our family history,” MyHeritage founder Gilad Japhet said in a statement.

Developed with Israeli computer vision firm D-ID, Deep Nostalgia uses deep learning algorithms to animate images with facial expressions that were based on those of MyHeritage employees.

Some of the company’s users took to Twitter on Friday to share the animated images of their deceased relatives, as well as moving depictions of historical figures, including Albert Einstein and Ancient Egypt’s lost Queen Nefertiti.

“Takes my breath away. This is my grandfather who died when I was eight. @MyHeritage brought him back to life. Absolutely crazy,” wrote Twitter user Jenny Hawran.

While most expressed amazement, others described the feature as “spooky” and said it raised ethical questions. “The photos are enough. The dead have no say in this,” tweeted user Erica Cervini.

From chatbots to virtual reality, the tool is the latest innovation seeking to bring the dead to life through technology.

Last year U.S. rapper Kanye West famously gifted his wife Kim Kardashian a hologram of her late father congratulating her on her birthday and on marrying “the most, most, most, most, most genius man in the whole world”.

‘ANIMATING THE PAST’

The trend has opened up all sorts of ethical and legal questions, particularly around consent and the opportunity to blur reality by recreating a virtual doppelganger of the living.

Elaine Kasket a psychology professor at the University of Wolverhampton in Britain who authored a book on the “digital afterlife”, said that while Deep Nostalgia was not necessarily “problematic”, it sat “at the top of a slippery slope”.

“When people start overwriting history or sort of animating the past … You wonder where that ends up,” she said.

MyHeritage acknowledges on its website that the technology can be “a bit uncanny” and its use “controversial”, but said steps have been taken to prevent abuses.

“The Deep Nostalgia feature includes hard-coded animations that are intentionally without any speech and therefore cannot be used to fake any content or deliver any message,” MyHeritage public relations director Rafi Mendelsohn said in a statement.

Yet, images alone can convey meaning, said Faheem Hussain, a clinical assistant professor at Arizona State University’s School for the Future of Innovation in Society.

“Imagine somebody took a picture of the Last Supper and Judas is now winking at Mary Magdalene – what kind of implications that can have,” Hussain told the Thomson Reuters Foundation by phone.

Similarly, Artificial Intelligence (AI) animations could be use to make someone appear as though they were doing things they might not be happy about, such as rolling their eyes or smiling at a funeral, he added.

Mendelsohn of MyHeritage said using photos of a living person without their consent was a breach of the company’s terms and conditions, adding that videos were clearly marked with AI symbols to differentiate them from authentic recordings.

“It is our ethical responsibility to mark such synthetic videos clearly and differentiate them from real videos,” he said.

(Reporting by Umberto Bacchi @UmbertoBacchi in Milan; Editing by Helen Popper. Please credit the Thomson Reuters Foundation, the charitable arm of Thomson Reuters, that covers the lives of people around the world who struggle to live freely or fairly. Visit http://news.trust.org)

 

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Does your institution have operational resilience? Testing cyber resilience may be a good way to find out

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REMOTE WORKING STRATEGY REQUIRED TO STRENGTHEN CYBER RESILIENCE

By Callum Roxan, Head of Threat Intelligence, F-Secure

If ever 2020 had a lesson, it was that no organization can possibly prepare for every conceivable outcome. Yet building one particular skill will make any crisis easier to handle: operational resilience.

Many financial institutions have already devoted resources to building operational resilience. Unfortunately, this often takes what Miles Celic, Chief Executive Officer of TheCityUK, calls a “near death” experience for this conversion to occur. “Recent years have seen a number of cases of loss of reputation, reduced enterprise value and senior executive casualties from operational incidents that have been badly handled,” he wrote.

But it need not take a disaster to learn this vital lesson.

“Operational resilience means not only planning around specific, identified risks,” Charlotte Gerken, the executive director of the Bank of England, said in a 2017 speech on operational resilience. “We want firms to plan on the assumption that any part of their infrastructure could be impacted, whatever the reason.” Gerken noted that firms that had successfully achieved a level of resilience that survives a crisis had established the necessary mechanisms to bring the business together to respond where and when risks materialised, no matter why or how.

We’ll talk about the bit we know best here; by testing for cyber resilience, a company can do more than prepare for the worst sort of attacks it may face. This process can help any business get a clearer view of how it operates, and how well it is prepared for all kinds of surprises.

Assumptions and the mechanisms they should produce are the best way to prepare for the unknown. But, as the boxer Mike Tyson once said, “Everyone has a plan until they get punched in the mouth.” The aim of cyber resilience is to build an effective security posture that survives that first punch, and the several that are likely to follow. So how can an institution be confident that they’ve achieved genuine operational resilience?

This requires an organization to honestly assess itself through the motto inscribed at the front of the Temple of Delphi: “Know thyself.” And when it comes to cyber security, there is a way for an organization to test just how thoroughly it comprehends its own strengths and weaknesses.

Callum Roxan

Callum Roxan

The Bank of England was the first central bank to help develop the framework for institutions to test the integrity of their systems. CBEST is made up of controlled, bespoke, intelligence-led cyber security tests that replicate behaviours of those threat actors, and often have unforeseen or secondary benefits. Gerken notes that the “firms that did best in the testing tended to be those that really understood their organisations. They understood their own needs, strengths and weaknesses, and reflected this in the way they built resilience.”

In short, testing cyber resilience can provide clear insight into an institution’s operational resilience in general.

Gaining that specific knowledge without a “near-death” experience is obviously a significant win for any establishment. And testing for operational resilience throughout the industry can provide some reminders of the steps every organization should take so that testing provides unique insists about their institution, and not just a checklist of cyber defence basics.

The IIF/McKinsey Cyber Resilience Survey of the financial services industry released in March lasy year provided six sets of immediate actions that institutions could take to improve their cyber security posture. The toplines of these recommendations were:

  1. Do the basics, patch your vulnerabilities.
  2. Review your cloud architecture and security capabilities.
  3. Reduce your supply chain risk.
  4. Practice your incident response and recovery capabilities.
  5. Set aside a specific cyber security budget and prioritise it
  6. Build a skilled talent pool and optimize resources through automation.

But let’s be honest: If simply reading a solid list of recommendations created cyber resilience, cyber criminals would be out of business. Unfortunately, cyber crime as a business is booming and threat actors targeting essential financial institutions through cyber attacks are likely earning billions in the trillion dollar industry of financial crime.A list can’t reveal an institution’s unique weaknesses, those security failings and chokepoints that could shudder operations, not just during a successful cyber attack but during various other crises that challenge their operations. And the failings that lead to flaws in an institution’s cyber defence likely reverberate throughout the organization as liabilities that other crises would likely expose.

The best way to get a sense of operational resilience will always be to simulate the worst that attackers can summon. That’s why the time to test yourself is now, before someone else does.

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Thomson Reuters to stress AI, machine learning in a post-pandemic world

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gbaf1news

By Kenneth Li and Nick Zieminski

NEW YORK (Reuters) – Thomson Reuters Corp will streamline technology, close offices and rely more on machines to prepare for a post-pandemic world, the news and information group said on Tuesday, as it reported higher sales and operating profit.

The Toronto-headquartered company will spend $500 million to $600 million over two years to burnish its technology credentials, investing in AI and machine learning to get data faster to professional customers increasingly working from home during the coronavirus crisis.

It will transition from a content provider to a content-driven technology company, and from a holding company to an operational structure.

Thomson Reuters’ New York- and Toronto-listed shares each gained more than 8%.

It aims to cut annual operating expenses by $600 million through eliminating duplicate functions, modernizing and consolidating technology, as well as through attrition and shrinking its real estate footprint. Layoffs are not a focus of the cost cuts and there are no current plans to divest assets as part of this plan, the company said.

“We look at the changing behaviors as a result of COVID … on professionals working from home working remotely being much more reliant on 24-7, digital always-on, sort of real-time always available information, served through software and powered by AI and ML (machine learning),” Chief Executive Steve Hasker said in an interview.

Sales growth is forecast to accelerate in each of the next three years compared with 1.3% reported sales growth for 2020, the company said in its earnings release.

Thomson Reuters, which owns Reuters News, said revenues rose 2% to $1.62 billion, while its operating profit jumped more than 300% to $956 million, reflecting the sale of an investment and other items.

Its three main divisions, Legal Professionals, Tax & Accounting Professionals, and Corporates, all showed higher organic quarterly sales and adjusted profit. As part of the two-year change program, the corporate, legal and tax side will operate more as one customer-facing entity.

Adjusted earnings per share of 54 cents were ahead of the 46 cents expected, based on data from Refinitiv.

The company raised its annual dividend by 10 cents to $1.62 per share.

The Reuters News business showed lower revenue in the fourth quarter. In January, Stephen J. Adler, Reuters’ editor-in-chief for the past decade, said he would retire in April from the world’s largest international news provider.

Thomson Reuters also said its stake in The London Stock Exchange is now worth about $11.2 billion.

The LSE last month completed its $27-billion takeover of data and analytics business Refinitiv, 45%-owned by Thomson Reuters.

(Reporting by Ken Li, writing by Nick Zieminski in New York, editing by Louise Heavens and Jane Merriman)

 

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