“AI Use Cases in Risk Management for Financial Services - with Swami Jayaraman of Iron Mountain” https://lnkd.in/e-rgb8C Today’s guest on the ‘AI in Financial Services’ podcast is Swami Jayaraman, Senior Vice President and Chief Enterprise Architect at Iron Mountain, returns to the ‘#AIinFinancialServices’ podcast to explore key use cases in risk management, cybersecurity, and customer experience, shedding light on how AI is driving efficiencies in these areas. Iron Mountain, a publicly traded leader in storage and information management services, has earned the trust of over 240,000 organizations worldwide, including 90% of the Fortune 1000, for more than 70 years. Swami’s insights provide financial leaders with a clear understanding of AI's practical applications and its potential to transform their operations. In conversation with Emerj Artificial Intelligence Research Senior Editor Matthew DeMello, Swami delves into AI's capabilities in analyzing ID documents, monitoring loan agreements, and automating regulatory reporting, demonstrating its impact on enhancing compliance and operational effectiveness. #RiskManagement #Cybersecurity #CustomerExperience #AI #FinancialServices #IronMountain #Leadership #DataManagement #Innovation #DigitalTransformation #RegulatoryCompliance #Automation #EnterpriseArchitecture #FinancialIndustry #InformationManagement
Emerj Artificial Intelligence Research
Market Research
Boston, Massachusetts 11,390 followers
Access and insights from Global 2000 enterprise AI leaders.
About us
We’re a publishing and market research company focused exclusively on enterprise AI ROI, based entirely on one-to-one interviews and surveys with Global 2000 enterprise leaders. Emerj is synonymous with “enterprise AI access.” Enterprise leaders count on Emerj for AI insights, research, and connections to the right AI tools and providers. Enterprise Leaders - Join over 20,000 Global 2000 leaders and receive our AI ROI research to your inbox every week: emerj.com/n1 AI / Tech Providers - Go to market with confidence - and connect directly with enterprise leaders: emerj.com/ad1
- Website
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https://emerj.com
External link for Emerj Artificial Intelligence Research
- Industry
- Market Research
- Company size
- 11-50 employees
- Headquarters
- Boston, Massachusetts
- Type
- Privately Held
- Founded
- 2017
- Specialties
- artificial intelligence, market research, executive advisory, enterprise technology, and publishing
Locations
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Primary
Boston, Massachusetts 02109, US
Employees at Emerj Artificial Intelligence Research
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Mathias Lindbro
AI Advisor / AI Strategist at Nextevo
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Brian L. Keith
Data, AI & Cloud Leader | Recognized AI Strategy Leader in GovCon | ExecutiveGov distinguished key Cloud executive | I help government leaders to…
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Daniel Faggella
Connecting AI Buyers and Sellers in the Fortune 500. Market Research Based on 1-to-1 Fortune 500 AI Leader Interviews.
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Pooja Sarkar
Digital and CX Leader | Transformation Champion | AI/ML Enthusiast | Pet Lover | Astro Aspirant
Updates
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“Making the Move to Saas in Financial Services - with Adrien Gabeur of Sinequa” https://lnkd.in/d9YyPnA8 The Software-as-a-Service (SaaS) model continues to demonstrate significant growth in the fintech sector, with revenues expected to increase sixfold by 2030 to reach $1.5 trillion, according to Boston Consulting Group. This upward trend is mirrored in the broader B2b SaaS market, which is valued at $327.74 billion in 2023 and is projected to reach $1.08 trillion by 2030, growing at an annual rate of 18.7%. Sinequa, a leader in AI-powered search technology, has transitioned one of its products to a SaaS model, aiming to expand its reach to a wider audience. In a recent ‘#AIinBusiness’ podcast, Adrien Gabeur, Vice President of Cloud and SaaS at Sinequa, shares insights into company strategy, emphasizing collaboration with customers for product development and integrating multiple systems for unified access. This article examines critical insights for B2b and finance leaders in two key areas: - Collaborating with customers for product development - Integrating multiple systems for unified access #SaaS #Fintech #B2B #CloudComputing #AI #DataIntegration #CustomerCollaboration #BusinessGrowth #MarketTrends #DigitalTransformation #LegacyIndustries #ProductDevelopment #Leadership #EnterpriseSolutions #Innovation
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"The Future of AI and Compliance in Finance – with Experts from UBS, HSBC, BMO and More" https://lnkd.in/dqbx_h-c Compliance, like regulation overall, is an arms race of capabilities between those reinforcing the integrities of a rules-based approach and those trying to break it – or the adversarial side of the system. On Emerj Artificial Intelligence Research's 'AI in Business' podcast, we regularly hear from financial leaders and compliance professionals worldwide about these various challenges and the emergence of AI technologies to help their organizations find solutions. Despite the many differences between the banking and financial services sectors, they each have many lessons to share in addressing regulatory compliance challenges and minimizing insider risk. This article, sponsored by Smarsh, examines three specific use cases in compliance for large-scale financial enterprises described by our podcast guests across the banking and financial services industries: - Communications surveillance for detecting insider risk - Making legacy systems more intelligent - Market surveillance #AI #finserv #banking #compliance #AML #KYC #BSA
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"How AI is Changing Cybersecurity in Banking – Three Current Trends" #AI plays a more significant role in our lives every day, and #cybersecurity is hardly an exception – for both the “cat” and “mouse” sides of the technological arms race. In this article, we examine three major AI trends impacting how financial services organizations approach cybersecurity today: - Privacy-driven regulatory #compliance. - Threat detection and the AI arms race in #cyberattacks. - The growing importance of ‘front-door’ verification for streamlining cybersecurity and compliance workflows. https://lnkd.in/dNB2kmZ9
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Emerj Artificial Intelligence Research reposted this
Connecting AI Buyers and Sellers in the Fortune 500. Market Research Based on 1-to-1 Fortune 500 AI Leader Interviews.
The best B2B AI vendors are maniacal when it comes to defining / refining their target customer. This is a hard job for literally all enterprise #AI companies. No one's initial target market assumptions turn out true - there's always vastly more nuance, and plenty of surprises. The sharpest companies we work with have immediate answers to the following questions: -- "What is your ABM list for X product/service?" -- "How has your ABM target list changed over the last 6-12 months?" -- "What are the commonalities of your TOP prospects?" From years of experiences, the more nuance a marketing / founding team has about their best target customers ("they have at least 20 data scientists on staff" / "they have opened manufacturing facilities in Asia within the last 10 years" / etc), the better. The ONLY way to continuously dial in these criteria is to not only know what marketing materials are working, but to also know what kinds of prospects are converting into opportunities, and what kinds of new customers are satisfied vs dissatisfied with what we're delivering to them. When this is done well, having a dialed in target market implies that (a) one or more of the founders remain deeply involved in the selling process, and/or that (b) sales leadership and marketing leadership work hand-in-hand.
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Grateful to see that National Library of Medicine (NLM)’s recently published chapter on “Ethical Issues of AI” (https://lnkd.in/dupGb8d7) references our Emerj Artificial Intelligence Research article “Everyday Examples of Artificial Intelligence and Machine Learning” (https://lnkd.in/fYkXnkq). The Emerj article takes a closer look at how AI is already integrated into our daily routines. From Google Maps to spam filters, AI is actively shaping our commutes, online interactions, and much more, often without users even noticing. Extra thanks to author Bernd Carsten Stahl. #AI #ArtificialIntelligence #Ecommerce #ConsumerGoods #ProcessAutomation #Finance
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“We haven’t seen their company crumble in the interim, but we have seen them kind of fumble.” - Emerj’s Daniel Faggella quoted in CNBC https://lnkd.in/d6-7NkPq
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“Building Trust in Data Science in Life Sciences - with Bikalpa Neupane of Takeda” https://lnkd.in/eNQYY8rk In the realm of life sciences, AI and data science have gained significant traction, particularly within the pharmaceutical industry. Despite the plethora of AI applications, pharmaceutical companies often approach emerging trends cautiously. Such caution is driven by pharmaceutical firms’ need to adhere to stringent regulatory standards established prior to the recent emergence of the FDA’s proposed regulatory framework governing the use of AI in the medical field. Trust is a paramount concern for pharmaceutical companies, especially in the realm of drug discovery. The high costs associated with developing new drugs, often exceeding $1 billion, accentuate the importance of establishing trust throughout the process. How can pharmaceutical companies cultivate trust, particularly in the context of drug discovery? Emerj Artificial Intelligence Research Senior Editor Matthew DeMello explores similar questions in a comprehensive discussion with Bikalpa Neupane, Takeda's Head of AI and Natural Language Processing, on the 'AI in Business Podcast'. This article examines two key insights for enterprise leaders from Neupane's conversation with DeMello: - Enabling data from diverse sources - Addressing the issue of trust within data science practices For a deeper understanding of the challenges surrounding trust in life sciences and the potential solutions offered by new generative AI applications, refer to the full podcast episode. #DataScience #LifeSciences #Pharmaceuticals #AIinHealthcare #RegulatoryCompliance #DrugDiscovery #TrustInScience #AIApplications #HealthTech #EmergingTechnologies #ArtificialIntelligence #HealthcareInnovation #DataIntegration #EnterpriseLeadership #PodcastInterview
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“Picking a First AI Project – A 3-Step Guide for Leaders” https://lnkd.in/g3cRY4g Artificial intelligence is poised to revolutionize industries, unlocking trillions in economic value. Yet, 80-90% of initial enterprise AI projects fail. Why? Often, wrong project selections. Explore our guide on executive AI fluency to master project selection and unlock our entire library of resources for enterprise leaders at emerj.com/p1. #AI #BusinessLeadership #ProjectSelection #EmergingTech
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“Driving AI Infrastructure in Compliance-Heavy Industries - with Shardul Vikram of SAP” https://lnkd.in/d_MacVm Today’s guest on the ‘AI in Business’ podcast is Shardul Vikram, CTO and Head of Data & AI for SAP Industries and Customer Experience. He joins Emerj Artificial Intelligence Research Senior Editor Matthew DeMello to discuss the evolving landscape of cloud adoption and storage solutions in the life sciences and financial services sectors. Despite the initial promises of cloud technology, not everything has moved "to the cloud" even a decade later. As the excitement around emerging technologies like AI begins to stabilize, Shardul provides actionable insights for leaders in legacy and regulated industries. He emphasizes the importance of a balanced approach, combining cloud and endpoint storage to meet specific business objectives effectively. This episode is part of a special series sponsored by MinIO, offering a deep dive into the challenges and opportunities at the intersection of infrastructure investment, technology strategy, and competitive advantage. Discover how brands collaborate with Emerj and explore other media options at emerj.com/ad1. #AI #artificialintelligence #CloudComputing #DataStrategy #AI #LifeSciences #FinancialServices #SAP #CloudAdoption #TechnologyStrategy #Infrastructure #BusinessTransformation #EmergingTech #StorageSolutions #CompetitiveAdvantage #RegulatedIndustries #MinIO