However, maintaining high standards of customer service requires more than just setting lofty goals. It necessitates equipping your agents with the right tools and training to consistently deliver exceptional service without overwhelming them.

Driving Insights with AI-Powered CRM

Leading service organizations have discovered that the key to maximizing the value of their data lies in incorporating AI Artificial Intelligence into their Customer Relationship Management ( CRM ) systems. This strategic move not only enhances efficiency but also elevates customer satisfaction scores. Salesforce’s latest State of Service report delves into the insights you can gain from this approach.

Efficiency through AI-driven CRM

AI-powered CRM systems enable businesses to offer the empathetic and personalized service that today’s customers crave. With the right technology in place, achieving a superior customer experience becomes not just possible but also sustainable.

“AI in CRM can deliver personalized and empathetic service that customer desire today. Better technology means elevated customer experiences.”

Defining Your Service Standards

Customer service standards are the cornerstone of interactions between your business and its customers. Modern consumers expect seamless, personalized, and comprehensive service right from their initial engagement.

By implementing AI-ready CRM platforms, you can tangibly elevate your customer service standards. These platforms equip your team with the necessary tools and training to build customer trust through rapid response times, empathy, and agent efficiency.

Maintaining Excellence with Metrics

Improving your service while managing costs necessitates monitoring the right service metrics. Key Performance Indicators such as case deflection, cost per contact, and first-contact resolution guide your efforts and signal potential areas for improvement.

Uniting Your Customer Data

Managing customer information across service, sales, and marketing departments often results in fragmented data, leading to frustration for both employees and customers. The solution lies in consolidating data within a comprehensive CRM system.

Streamlining Your Channels

With customers engaging businesses through various channels, logging all interactions into a single platform becomes critical. This provides your agents with a complete view of each customer’s history, enhancing their ability to provide superior service.

Quick Service through Automation

To meet the rapidly rising expectations of customers, businesses must expedite their service efforts. Automation can be a game-changer, significantly reducing the workload of service agents and enabling them to focus on more complex issues.

Conclusion

By regularly reviewing your customer service standards and performance, you can effectively identify and address gaps. Over time, with consistent effort, your team’s performance will improve, resulting in an elevated service experience for your customers. Do you have any tricks up your sleeve for maintaining high customer service standards? Feel free to share your insights in the comments!

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Stay updated with TechInsight on tech and AI’s latest news.

The post AI in Holistic Horizon: PowerHER Insights first appeared on Tech Insight.

Understanding the depth of these transformative forces is critical, as they intricately shape the landscape of global trade and supply chain financing. From surging inflation rates to geopolitical complexities and increasingly intricate supply chains, the call for enhanced supplier visibility and traceability has never been louder, especially in the pursuit of Environmental, Social, and Governance (ESG) goals.

Shifting from Fragmented to Data-Driven Supply Chains

Meeting these challenges necessitates a shift from manual to data-centric supply chain operations. Consequently, organizations are embracing digitalization to streamline processes and reduce costs.

Technology is pivotal in uniting fragmented manual procedures into a connected and digitized trade ecosystem. This transformation establishes a single source of truth across all stakeholders, fostering trust and efficiency in global trade.

IBM’s Leading Role in Trade Finance Digitization

IBM has been at the forefront of this digital revolution, bringing forth a myriad of advantages. These include real-time visibility into supply chains, the elimination of paper-based processes, enhanced accuracy in cash-flow forecasting, and bolstered supply chain resilience. To underscore these benefits, IBM has adopted a platform-centric approach to modernize trade finance procedures, harnessing the potential of “as-a-service” business models.

The Transformative Influence of AI and Industry Cloud Platforms

At the heart of IBM’s platform is the IBM Cloud for Financial Services, a unique cloud solution tailored to the specific requirements of regulated industries. IBM Consulting’s advisors and managed services are instrumental in expediting the journey towards trade digitization.

Iain MacLennan, Head of Trade and Supply Chain Finance at Finastra, underscores the significance of this transformation: “With digitalization being a prerequisite for corporate growth, the modernization of banks’ processes paves the way for substantial digitization of their trade finance operations.”

Discover How IBM’s Innovative Approach Can Shape Your Trade Finance Journey

In Conclusion— In an increasingly digital world, organizations must wholeheartedly embrace digital transformation to conduct transactions swiftly, securely, and with an unwavering focus on compliance and security. IBM’s pioneering work in this domain represents a significant leap forward. What are your insights on this transformative journey? We welcome your comments below! Stay updated with all the latest News around Technology and Innovation with Techinsight.

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In an exciting development, Sally Kornbluth, the esteemed President of MIT, and Provost Cynthia Barnhart, took the initiative in July by inviting research papers on the comprehensive dominion of generative AI. They received a resounding positive response; every school at MIT stepped forward to investigate the possible applications and formidable impacts of generative AI on a range of fields – from climate conservation to education, healthcare, and even the realm of art and literature.

MIT Invests in Transformative Potential of Generative AI

A total of 27 ground-breaking proposals have been rewarded with preliminary grant funding, promising inspiring insights into the potential of generative AI to transform society. The papers, submitted by cross-functional teams from all five MIT schools and the MIT Schwarzman College of Computing, explore both the potential benefits and drawbacks of generative AI.

“In the past year, generative AI has captured the public imagination and raised countless questions about how this rapidly advancing technology will affect our world. This summer, to help shed light on those questions, we offered our faculty seed grants for the most promising ‘impact papers’ — proposals to pursue intensive research on some aspect of how generative AI will shape people’s life and work.

I’m thrilled to report that we received 75 proposals in short order, across an enormous spectrum of fields and very often from interdisciplinary teams. With the seed grants now awarded, I cannot wait to see how our faculty expand our understanding and illuminate the potential impacts of generative AI.”

– Sally Kornbluth

Timelines and Collaborations for Generative AI Research

The selected research teams will each receive a grant between $50,000 and $70,000, to produce 10-page impact papers due by December 15. These papers will subsequently be circulated widely through a publication venue curated by the MIT Press and the MIT Libraries. The enduring responses have already kindled fresh collaborations; another call for more proposals is expected later this semester.

“It was exciting to see the broad and diverse response which the call for papers generated. Our faculty have contributed some truly innovative ideas. We are hoping to capitalize on the current momentum around this topic and to support our faculty in turning these abstracts into impact that is accessible to broad audiences beyond academia and that can help inform public conversation in this important area.”

– Asu Ozdaglar, Head of the Department of Electrical Engineering and Computer Science

Support from Innovation Scholar

One of the significant contributors to this innovative effort is Thomas Tull, a former innovation scholar at the MIT School of Engineering and currently a participant of the School of Engineering Dean’s Advisory Council. His passionate endorsement of the project emphasizes the importance of a diverse, informed public dialogue about the future of AI.

In Summary

Through active funding and support, the researchers at MIT are actively shaping a future influenced by generative AI. In tackling questions of the technology’s impact across a sweeping range of sectors, they are positioning this research at the forefront of AI development – a thrilling prospect for technology enthusiasts and casual observers alike. What aspects of these generative AI research projects intrigue you the most? Please feel free to engage in the comment section below.

View more AI topics, right here.

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In our data-driven world, it can sometimes seem like the rules for tech firms breach borders across the world – the more money you have to play with, it seems, the more rules you can bend. Today, at least, that isn’t the case, as Meta received a record Facebook fine for breaching rules put in place to safeguard users’ information.

Today, Hannah Murphy at the Financial Times has reported that Meta has been hit with a record €1.2bn (£1.4bn GBP) fine by a European Union regulatory board for “privacy violations”, and ordered to suspend all user data transfers to the US. As Murphy points out, it’s the most significant penalty of its kind in the bloc’s – that is to say, the continent’s – history.

Meta wants to go broader than borders

It transpires that Ireland’s Data Protection Commission, the DPC, has taken umbrage with Meta’s handling of users’ data. The regulator exists to keep organisations of its nature accountable; according to the DPC, Facebook, which handles its European operations out of Dublin, had violated rules requiring the transfers of personal data from the EU to the US without appropriate safeguards in place.

It’s significant that the DPC is figure heading for the entire EU – so often, Meta and similar corporations seem to bypass national jurisdiction – but no surprise, considering its European base of operations.

“We are . . .  disappointed to have been singled out when using the same legal mechanism as thousands of other companies looking to provide services in Europe,”
– Facebook’s Nick Clegg

The ruling follows continued pressure within Europe for regulators to keep a close eye on its citizens’ data, and where it’s being used. Previously, activists have warned that private information remains “exposed to surveillance programmes”.

Previously serving as the Leader of the Liberal Democrats and the UK’s Deputy Prime Minister, Clegg certainly raised some eyebrows when he joined the company as its president of global affairs. Yet his position within the company provides an indication of Meta’s grand ambitions, and crucially, the calibre of employees the corporation is willing to recruit, to skirt the legal line. This time, it hasn’t paid off.

Clegg, however, offered an indictment of the decision: “This decision is flawed, unjustified and sets a dangerous precedent for the countless other companies transferring data between the EU and the US.”

Facebook fine: where does Meta go from here?

The thing is, it’s easy to demonise one of the most ubiquitous companies on the planet – Facebook alone has 2.91 billion active users. Clegg’s comments potentially signal a sea change regarding how and why gargantuan corporations store “private” user data, but Meta certainly isn’t the only organisation we’ve put our faith in that ships and stores our data globally.

George Orwell once predicted a surveillance state, but he could never have predicted that such surveillance wouldn’t stem from our physical presence, but our digital footprint. Looking to the future, the DPC has issued Facebook’s EU HQ five months to “suspend any future transfer of personal data to the US,” and six months to cease processing EU citizens’ personal information in violation of the bloc’s General Data Protection Regulation.

It gives Meta a headstart: a way to either find a new loophole with which to thread the needle, or potentially plan to retreat and regroup on the other side of the Atlantic. Have they overstepped? Maybe, but for a corporation monopolising the market that’s reportedly worth $646.29 billion USD, Meta may just be fine to flex its muscles, incur the cost, and carry on regardless.

Source: Facebook owner Meta hit with record €1.2bn fine over EU-US data transfers.

Is Meta too big to fail? Tell us what you think in the comments!

It’s not all doom and gloom! Click here to read: Microsoft Pledges https://techinsight.newshub.talkabout.tech/wp-content/uploads/sites/7/2019/09/uk-technology-heatmap-3.jpg-Carbon Data Centre by 2030.

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The debate surrounding artificial intelligence rages on. Recently, the CEO of Digital Science & Research Limited, Dr Daniel Hook, claimed that modern workers must embrace AI to thrive. His comments seemed to assuage worries that AI (artificial intelligence) could threaten jobs; now, however, the man considered to be its ‘godfather’ has taken drastic actions to speak out on the dangers of artificial intelligence.

In a statement to the New York Times, Geoffrey Hinton has announced that he is resigning from his high-ranking role at Google, stating that he regrets his work with the burgeoning technology. In the past, it seems like we have all been on the receiving end of a chafing chatbot we know isn’t human, ping-ponging us to different sectors of a site with no real clue what we’re after. Well, Hinton says the dangers of AI chatbots are, “quite scary”.

“Right now, AI chatbots are not more intelligent than us, as far as I can tell. But I think they soon may be.”
– Dr Geoffrey Hinton

Look to the future: the dangers of artificial intelligence

Dr Hinton was awarded the 2018 Turing Award, alongside his colleagues Yoshua Bengio and Yann LeCun, for their work on deep learning, and it’s no understatement to say that his pioneering work on neural networks charted the progression of AI systems now prevalent such as Google’s own Bard technology, and ChatGPT. Neural networks, we already know about in terms of human physiology, and in tech terms, they work in a similar fashion, enabling artificial intelligence systems to learn from experience. That’s an important distinction from how traditional computers operate.

The British government is keen to promote investment in AI in the UK – it thinks the burgeoning tech will eventually drive productivity across the economy. That’s a long-term plan, but what about right now?

We might angle towards a tech utopia, but Dr Hinton warns of “bad actors” in the tech space, who might use its functionality for “bad things” too. “Given the rate of progress,” he shares, “we expect things to get better quite fast. We need to worry about that.”

Right now, protocols are put in place to rein in artificial intelligence, but that could easily change; ChatGPT currently constricts its accessible data to September 2021, a clear line in the sand for users. It’s not supposed to solve today’s problems, but it can help generate answers to broader themes and topics. We have always pooled information to overcome our species’ greatest obstacles, but until now, it’s never been instantaneous.

A million mighty minds

The totality of mankind’s achievements is measured in an instant – this instant. Countless advancements is philosophy and science have been incremental, and have taken centuries, if not millennia, to solve. Hinton warns that multitudes of AI models share the same information, and this is where the dangers of artificial intelligence lie.

it’s as if you had 10,000 people and whenever one person learnt something, everybody automatically knew it. And that’s how these chatbots can know so much more than any one person.”

The exponential rate at which AI is developing has the potential to change everything going forwards. It may not be a Skynet future we’re barrelling towards, but Hinton and other leaders in the tech sector are conscious that we need to take a step back… to move forwards in a way that doesn’t threaten our way of life.

Source: https://www.nytimes.com/2023/05/01/technology/ai-google-chatbot-engineer-quits-hinton.html | Additional information: https://www.bbc.co.uk/news/world-us-canada-65452940

Which side of the fence do you fall on? Is real life replicating the scariest sci-fi? Let us know in the comments below!

Want to read what Dr Daniel Hook thinks of the oncoming AI revolution? Click: CEO: Modern Workers Must Embrace AI to Thrive

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