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Artificial Intelligence: The Science Behind The Good Customer Experience - Elets BFSI

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Artificial Intelligence (AI), as one of the leading technological trends, continues to grow in popularity among marketers and sales professionals, and has evolved into an essential tool for brands seeking to provide a hyper-personalized, exceptional customer experience. AI-enhanced customer relationship management (CRM) and customer data platform (CDP) software is now available, bringing AI to the enterprise without the high costs previously associated with the technology. On the basis of exclusive interactions with leaders in the BFSI sector, Nidhi Shail Kujur of Elets News Network (ENN) explores how with constantly evolving technologies, the banking and financial services industry promises to exceed customer expectations. The banking industry is undergoing significant change, particularly with the spread of customer-centricity. We live in a world where the majority of people have access to the internet.


Unleashing the power of machine learning models in banking through explainable artificial intelligence (XAI)

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The "black-box" conundrum is one of the biggest roadblocks preventing banks from executing their artificial intelligence (AI) strategies. It's easy to see why: Picture a large bank known for its technology prowess designing a new neural network model that predicts creditworthiness among the underserved community more accurately than any other algorithm in the marketplace. This model processes dozens of variables as inputs, including never-before-used alternative data. The developers are thrilled, senior management is happy that they can expand their services to the underserved market, and business executives believe they now have a competitive differentiator. But there is one pesky problem: The developers who built the model cannot explain how it arrives at the credit outcomes, let alone identify which factors had the biggest influence on them.


Evan Kirstel B2B TechFluencer on LinkedIn: What's the Future of AI in Healthcare?

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Elon Musk has just bought Twitter: tell him there are 101 people ready to make the platform more and more a concrete, transparent and ethical business model! Seriously, an award to take the breath away: thanks to Engati and congrats to all friends and colleagues who share the values of the community with me, a digital communication center where companies can find professionals with a global vision to rely on with tranquility to be represented (the algorithms for the expert analysis methodology do not lie), while the citizens a place to have verified information. "101 Global Twitter Influencers to follow 2022" https://lnkd.in/gyP6hiMA


101 global Twitter influencers to follow for 2022

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Yes, we know you've heard it. And keep your brand ready for what's coming on Twitter. We've compiled a list of 101 global Twitter influencers who'll help you nail your engagements and build your brand presence on Twitter. Here's the badge for all the Twitter Influencers to show it off on social media Domain expertise & research interests have been around artificial intelligence, cybersecurity, the Internet of Things, blockchain, and sustainability. Area of interest includes Networks, Causal Inference, Machine Learning, AI, Big Data, Marketing, IT, Experiments, Social Commerce, Behavior Change, and Productivity.


6sense Expands AI Offerings With Revenue AI

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The platform leverages AI throughout the buyer's journey, eliminating the guesswork that plagues revenue teams, improving the customer experience and generating high-quality pipelines that are more likely to convert. According to Jason Zintak, CEO of 6sense, the platform offers all-in-one AI and is revenue-obsessed because it has seen what is possible when a complete revenue team has access to AI. Artificial intelligence has the potential to displace hunch-based techniques in favor of real-time, data-driven insights and next best actions. Thus, the key focus of the announcement is artificial intelligence. The results generate consistent revenue growth. "We've experienced the frustration that guesswork causes and how it impedes revenue generation," Zintak told CMSWire.


Could ethical AI help underrepresented groups get ahead at work?

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Artificial intelligence (AI) can be a powerful tool to help build a more inclusive economy.ljubaphoto It's no secret that the pandemic resulted in women and marginalized communities being ousted from the work force in record numbers. Though many demographic sectors have since bounced back, the gains remain unequal among traditionally under-represented groups. For example, employment in the accommodation and food service industries, which are traditionally staffed primarily by women, are still 17 per cent below pre-pandemic levels. And while the unemployment rate for racialized workers has returned to pre-pandemic levels, it's still higher than that of non-racialized workers.


Chipotle launches a tech-focused venture fund

ZDNet

Greg Nichols covers robotics, AI, and AR/VR for ZDNet. A full-time journalist and author, he writes about tech, travel, crime, and the economy for global media outlets and reports from across the U. Some of the most interesting tech development is happening in an unusual space: Fast food. From burger-flipping robots to drone delivery and Amazon-level logistics, the face of fast food is changing quickly. Chipotle has announced a new venture fund called Cultivate Next, which will make early-stage investments into strategically aligned companies. Why does a quick-serve chain need a venture fund?


A Data-Driven Exploration of the Race between Human Labor and Machines in the 21st Century

Communications of the ACM

Anxiety about automation is prevalent in this era of rapid technological advances, especially in artificial intelligence (AI), machine learning (ML), and robotics. Accordingly, how human labor competes, or cooperates, with machines in performing a range of tasks (what we term "the race between human labor and machines") has attracted a great deal of attention among the public, policymakers, and researchers.14,15,18 While there have been persistent concerns about new technology and automation replacing human tasks at least since the Industrial Revolution,8 recent technological advances in executing sophisticated and complex tasks--enabled by a combinatorial innovation of new techniques and algorithms, advances in computational power, and exponential increases in data--differentiate the 21st century from previous ones.14 For instance, recent advances in autonomous self-driving cars demonstrate the way a wide range of human tasks that have been considered least susceptible to automation may no longer be safe from automation and computerization. Another case in point is human competition against machines, such as IBM's Watson on the TV game show "Jeopardy!" Both cases imply that some tasks, such as pattern recognition and information processing, are being rapidly computerized. Furthermore, recent studies suggest that robotics also plays a role in automating manual tasks and decreasing employment of low-wage workers.3,22


From underwriting to claims management, artificial intelligence will transform the insurance industry - Watson Blog

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Insurance is a $1.2 trillion industry in the U.S. alone, employing 2.9 million people. Historically, the insurance industry hasn’t felt the effects of digital disruption, due to a strict regulatory environment, the scale required to create a risk portfolio, and the time needed to establish trust with customers. But in a recent IBM Institute for Business Value (IBV) survey, insurance executives identified changing market forces (such as increased competition and changing customer preferences) as the top driver affecting their enterprise. The core function of the insurance industry, risk management, has gotten more complex as customer data continues to compound. Insurance companies collect data scattered across siloed business units in paper or various unstructured digital formats. In this data-rich environment, underwriting and claims management workers don’t have immediate access to the information needed for informed internal and external decision-making, leading to burnout and costly mistakes. In fact, knowledge workers spend 30% of their time finding information required to…


Talking Ethical AI with Artivatic's Layak Singh

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Founded in 2018, Bengaluru-based Artivatic AI uses AI to assist insurance companies in building personalised risk profiles of customers, track and understand their financial and behavioural journeys, and develop real-time intelligence based on those patterns. "InsurTech is a specialised branch of fintech earmarked for insurance use cases by leveraging forever-evolving AI capabilities and mining multi-source big data via ML algorithms to acquire better insights of our users and offer the best advice and analysis. Artivatic is an AI firm, and we're streamlining insurance and healthcare as our basic model via insurance tools," said Layak Singh, CEO of Artivatic AI. In an exclusive interview with Analytics India Magazine, Layak spoke about how the firm embeds ethics into its AI systems. Layak Singh: Artivatic has gone beyond that requirement of servicing only clients to actually offering 360-degree support to all of our stakeholders, from insurance providers and TPAs to agents, underwriters, users, and any other peripheral ones.