AI Governance, Trust & Transparency
AI in Healthcare Series: Care Optimization & Other Use Cases
This is the first in a new series of articles on AI in Healthcare, especially as it relates to what we at CognitiveScale are doing with clients like Elevance Health (formerly Anthem), CVS Health, United Healthcare, and Kaiser Permanente. Initially, we will describe the key areas where are working with these clients . . .
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Cortex AI Engineering: Paving the Way to Client-centric AI
CognitiveScale’s Cortex AI Engineering platform is build on three pillars: AI Application Development (Composite AI), Personalization and Trust and Governance. As AI evolves from the MLOps era to the era of Client-centric AI, these foundational pillars become more important and impactful . . .
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AI Engineering: Playbook for Scalable Enterprise AI
CognitiveScale’s Cortex Enterprise AI Platform enables the AI Engineering playbook required to accelerate and scale AI within your enterprise. Cortex is an industry-leading Enterprise AI platform that helps organizations productionalize and operationalize AI systems providing an answer to pressing questions that enterprises have . . .
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AI Application Development is a Team Sport
Enterprise AI is a team sport that requires various roles and functions to collaborate in order to deliver resilient, repeatable AI-powered solutions at scale. . . .
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CognitiveScale Announces TrustStar
CognitiveScale Announces TrustStar to Deliver Immediate, Actionable Intelligence for the Mortgage Industry. AI Platform Enables Mortgage Lending Institutions to Broaden Market Reach and Win More Business . . .
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Transforming Service Experience for a Leading Health Insurance Provider
Our client is one of the largest health insurance companies in the United States with approximately 43 million members nationwide. They are dedicated to delivering better care, providing greater value and helping improve the health of our communities to their Members. . . .
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US Intelligence Community Publishes Guidelines for AI Security Activities and Analytics
As Artificial Intelligence and Machine Learning (AI/ML) solutions proliferate, it is a foregone conclusion that they are an integral component of national security and intelligence operations. Not just for the worlds of finance, healthcare, and online commerce . . .
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Survey Results: What’s Driving AI Adoption?
Artificial intelligence (AI) is now a central part of our daily lives. From a consumer perspective, we think nothing of seeing personalized product recommendations while shopping online or having a new series recommended based on what you’ve previously watched. Adoption of AI in the enterprise has been more measured. While AI can boost operational efficiency and drive personalized service experience when done well, too often the intelligent systems businesses rely on to deliver these outcomes are ineffective and include unreliable data, hidden biases and unexplainable results. . . .
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Intelligent Automation Radio Episode: Matt Sanchez on Responsible AI
My name is Guy Nadivi and I'm the host of Intelligent Automation Radio. Our guest on today's episode is Matt Sanchez, Founder and Chief Technology Officer of CognitiveScale, an enterprise AI software company . . .
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Systemic Bias in Financial Services_ Fixing a Growing AI/ML Problem
As computational analytics, including Artificial Intelligence and Machine Learning (AI/ML), gain greater traction and an almost essential status in the processing of massive volumes of data, their ubiquity and often inherent predilection for incorrect outcomes have brought both skepticism and distrust to their algorithms . . .
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Ethical and Trusted AI in Financial Services: CogX 2020 Panel Recap
To kick off the panel, Saxena explains his perspective on what it means to be trusted and ethical when it comes to automated decisioning systems. “Trust,” he says, is the foundation of the digital economy. . . .
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Underwriting Fraud in Insurance: Why Hasn't the Problem Been Solved?
Soft fraud costs the insurance industry billions of dollars annually, specifically in premium ?leakage,? a problem that results in artificially low premiums and unnecessary or over-inflated claim payouts . . .
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Managing Premium Leakage and Underwriting Fraud In P&C Insurance
The problem of premium leakage is widespread in the P&C insurance industry. Verisk Analytics estimates that personal lines automobile insurers incur $29 billion in annual losses due to premium leakage . . .
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Intelligent Intervention AI Use Cases for COVID-19 and Beyond
These pieces all begin to describe where AI is being leveraged to help with the current public health crisis. This post and the next couple (in short order) elaborate on what we at CognitiveScale call Intelligent Interventions . . .
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PPP Distribution Inequities: How AI Solutions Can Eliminate Bias
No doubt, given the COVID-19 pandemic, there are tough times for everyone, both personally and professionally. Enough said. Those businesses deemed non-essential and already operating on a fiscal shoestring remain in more dire straits than ever. . . .
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AI In Model Risk Management Insurance: AI’s Unique Characteristics and Operating Model Impacts
Banks will need to evolve and industrialize their MRM functions in the world of big data and AI since AI based models pose unique challenges in terms of business risk management. . . .
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Preparing for Long Term Impacts of the COVID-19 Pandemic: How Insurers Should Leverage AI
The COVID-19 pandemic has brought the global economy to a screeching halt; wide swaths of the economy have already started feeling the pain, including airlines, commodities and even banks. Insurers are facing the double-edged sword of decreasing market demand on one hand and increased market volatility on the other . . .
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Trusted AI in Healthcare: Avoiding the Risks of Black Box AI Solutions
Spending on Artificial Intelligence (AI) is expected to more than double from $35 billion in 2019 to $79 billion in 2022, according to IDC forecasts, reflecting the enormous potential societal benefits of AI. Yet broad adoption of AI systems will not come from the benefits alone but from the ability to trust these dynamically evolving digital systems . . .
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Consumer Lending and Credit: Tackle Business Risks from AI
The key regulatory issues in consumer lending and credit – fair lending, consumer notification and reporting, and unfair, discriminatory or abusive acts or practices – have implications for various AI business risks. Institutions should get ahead of the issue and tackle AI business risks head-on . . .
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Implementing AI Trust in Customer Experience
In 2019, Ovum conducted a market survey and analysis among customer experience (CX) managers and customer-facing employees regarding the current state of their company AI strategies as well as future plans and visions . . .
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AI In Model Risk Management: AI’s Unique Characteristics and Operating Model Impacts
Banks will need to evolve and industrialize their MRM functions in the world of big data and AI since AI based models pose unique challenges in terms of business risk management . . .
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Global AI Award for Responsible AI and Ethics
We are so excited to announce that CognitiveScale has won Global AI Awards 2019-2020 in the Award for Responsible AI and Ethics category! Certifai is the world's first AI Risk Scanner application that detects and scores vulnerabilities in any black-box AI model . . .
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The Case for Transforming Model Risk Management: Prepare for AI Business Risks
Banks will need to evolve and industrialize their MRM functions in the world of big data and AI since AI based models pose unique challenges in terms of business risk management . . .
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Why Bias is Interwoven with Several Other Dimensions of Trusted AI
At CognitiveScale, we have grouped the key aspects of building and deploying trustable AI solutions under 5 pillars, representing 5 major types of Risks that Businesses face if these aspects are not properly addressed while employing AI technologies . . .
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