[seopress_breadcrumbs]

Creating an AI Transformation Vision – Achieving Long-Term Advantage with AI

•

February 15, 2021

Artificial intelligence deployments are fraught with technical and tactical elements that have to be executed well in order to see a return on investment: The data must be accessible, cross-functional AI teams have to work together, and even after an AI pilot seems promising - it often needs to be integrated into legacy systems to be deployed successfully.
Above both the technical and the tactical issues lies a greater set of looming questions:
What is AI helping our department or firm to become?
How will it help us serve our customers, improve our operations - and ultimately win in the market...

[mrj_paywall] unauthorized access

Recommended from Emerj

Driving Disease Risk Prediction and Preventative Healthcare with AI – with Dan Elton of the National Human Genome Research Institute

The landscape of preventative healthcare and genetic research is "awakening" with data, enabling earlier and more precise disease risk prediction. The evolution is particularly critical as the healthcare industry shifts from reactive treatment to proactive care. Integrating advanced capabilities with genomic data allows researchers and clinicians to analyze vast numbers of genetic variants, providing more…

Emily Smith

•

April 21, 2025

Artificial Intelligence at Foxconn – Two Use Cases

Foxconn, officially Hon Hai Precision Industry Co., Ltd., is a multinational electronics contract manufacturing company headquartered in Taiwan. Founded in 1974, it is renowned for producing consumer electronics for major companies like Apple, Microsoft, and Amazon. As of 2023, it employed approximately 90,221 people globally and reported an estimated annual revenue of $4.1 billion. The…

Riya Pahuja

•

April 14, 2025

Leveraging AI for Better Insurance Outcomes From Risk Management to Customer Care – with Mark McLaughlin of IBM

AI is transforming the insurance industry from reactive claims processing to proactive risk management. Rising competition from fintech and insurtechs and growing consumer demands for personalized, real-time experiences are driving such widespread industry adoption. Academic research highlights how insurers are increasingly using digital technologies and behavioral data to personalize services and influence customer behavior, underscoring…

Emily Smith

•

April 7, 2025

Managing End Point Storage in Hybrid Data Strategies for Financial Services – with Yonas Yohannes of Oracle

Transparency in AI is a major hurdle for businesses, particularly in the financial services industry. Generative AI (GenAI) models, particularly non-deterministic models, are often viewed as “black boxes,” making it difficult to understand the underlying decision-making processes. Due to this black box risk, banks can experience multiple types of AI incidents, including system glitches, data…

Sharon Moran

•

March 31, 2025

NLP Logix’s AI Collaborate 2024: A Look at the Future of GenAI Experiences from Sports to HR

This article is sponsored by NLP Logix and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page. Event Title: AI Collaborate 2024 Event Host: NLP Logix Location: Florida, USA Date: November 19-20, 2024 What Happened…

Riya Pahuja

•

March 26, 2025

Artificial Intelligence at Aflac – Two Use Cases

Aflac is a global leader in supplemental health and life insurance, providing financial protection to over 50 million policyholders in the U.S. and Japan. In 2023, Aflac reported an annual revenue of $18.7 billion. With approximately 12,785 employees worldwide, Aflac continues to drive innovation in cancer and medical insurance. Although Aflac's total investment in AI…

Ashwin Telang

•

March 24, 2025

Understanding AI’s Expanding Role in Drug Discovery and Life Sciences R&D – Liran Belenzon of BenchSci

This interview analysis is sponsored by BenchSci and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page. The intricate nature of biological systems significantly complicates drug development. Diseases often involve complex interactions among genes, proteins,…

Riya Pahuja

•

March 4, 2025

Long-Term ROI for GenAI in Healthcare – with Ylan Kazi of Blue Cross Blue Shield North Dakota

Mobile technology, including smartphones and wearable devices, collects health-related data such as physical activity metrics (e.g., step counts, heart rate), sleep patterns, and self-reported health information through surveys and applications. A 2022 research paper from Stanford University shows how these data enable AI systems to monitor health trends, predict potential health issues, and personalize healthcare…

Riya Pahuja

•

March 3, 2025

Tackling Chargeback Challenges at Scale with Machine Learning and Dynamic Arguments – with Roenen Ben-Ami at Justt

This interview analysis is sponsored by Justt and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page. Merchants face an escalating challenge with chargebacks, leading to significant financial losses. According to a report by Mastercard,…

Riya Pahuja

•

February 26, 2025

Generative AI as a Catalyst for Enterprise Innovation – with Deborah Golden of Deloitte

This interview analysis is sponsored by Deloitte and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page. Large enterprises' swift adoption of generative AI (GenAI) is driven by the quest for cost reduction and operational…

Matthew DeMello

•

February 25, 2025

Artificial Intelligence at Wells Fargo- Two Use Cases

Wells Fargo, a major financial services company, has its headquarters in San Francisco, United States. The company operates in 35 countries and has approximately 70 million customers worldwide. Financially, Wells Fargo reported strong performance in 2023 and generated $19.1 billion in net income, an 11 percent increase from the previous year. The company also reported…

Riya Pahuja

•

February 24, 2025

Keeping Up with AI Regulations in a New Age of Data Privacy – with Leaders from OneTrust, Microsoft, and TELUS

This interview analysis is sponsored by OneTrust and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page. The rapid evolution of privacy laws, such as the General Data Protection Regulation (GDPR) and the California Consumer…

Riya Pahuja

•

February 19, 2025

Search site

Search site

Creating an AI Transformation Vision – Achieving Long-Term Advantage with AI

Recommended from Emerj

Driving Disease Risk Prediction and Preventative Healthcare with AI – with Dan Elton of the National Human Genome Research Institute

Artificial Intelligence at Foxconn – Two Use Cases

Leveraging AI for Better Insurance Outcomes From Risk Management to Customer Care – with Mark McLaughlin of IBM

Managing End Point Storage in Hybrid Data Strategies for Financial Services – with Yonas Yohannes of Oracle

NLP Logix’s AI Collaborate 2024: A Look at the Future of GenAI Experiences from Sports to HR

Artificial Intelligence at Aflac – Two Use Cases

Understanding AI’s Expanding Role in Drug Discovery and Life Sciences R&D – Liran Belenzon of BenchSci

Long-Term ROI for GenAI in Healthcare – with Ylan Kazi of Blue Cross Blue Shield North Dakota

Tackling Chargeback Challenges at Scale with Machine Learning and Dynamic Arguments – with Roenen Ben-Ami at Justt

Generative AI as a Catalyst for Enterprise Innovation – with Deborah Golden of Deloitte

Artificial Intelligence at Wells Fargo- Two Use Cases

Keeping Up with AI Regulations in a New Age of Data Privacy – with Leaders from OneTrust, Microsoft, and TELUS

Customize Your Experience

Creating an AI Transformation Vision – Achieving Long-Term Advantage with AI

Share article

Subscibe to updates

Recommended from Emerj

Driving Disease Risk Prediction and Preventative Healthcare with AI – with Dan Elton of the National Human Genome Research Institute

Artificial Intelligence at Foxconn – Two Use Cases

Leveraging AI for Better Insurance Outcomes From Risk Management to Customer Care – with Mark McLaughlin of IBM

Managing End Point Storage in Hybrid Data Strategies for Financial Services – with Yonas Yohannes of Oracle

NLP Logix’s AI Collaborate 2024: A Look at the Future of GenAI Experiences from Sports to HR

Artificial Intelligence at Aflac – Two Use Cases

Understanding AI’s Expanding Role in Drug Discovery and Life Sciences R&D – Liran Belenzon of BenchSci

Long-Term ROI for GenAI in Healthcare – with Ylan Kazi of Blue Cross Blue Shield North Dakota

Tackling Chargeback Challenges at Scale with Machine Learning and Dynamic Arguments – with Roenen Ben-Ami at Justt

Generative AI as a Catalyst for Enterprise Innovation – with Deborah Golden of Deloitte

Artificial Intelligence at Wells Fargo- Two Use Cases

Keeping Up with AI Regulations in a New Age of Data Privacy – with Leaders from OneTrust, Microsoft, and TELUS

This Content is Exclusive to Emerj Plus Members

In-Depth Analysis

Exclusive AI Capabilities Matrix

Exclusive AI White Paper Library

Best Practices and executive guides

Register

Customize Your Experience