The data privacy and AI protection regulatory landscape seems to evolve on a constant basis. Almost three years ago, organizations were developing roadmaps for strong information and data governance programs to comply with the EU General Data Protection Regulation (GDPR). Shortly prior to this, businesses were facing the U.S. California Consumer Privacy Act (CCPA) and other Momentum Data Protection Acts.

Today the conversation has shift to AI. As use cases grow, so do concerns about protecting sensitive data and supporting responsible AI. Regulations are taking shape to ensure organizations strike the right balance between innovation and respecting consumer privacy.

This past month we saw strong stances and proposals for enacting regulations on AI from the European Union and the Federal Trade Commission. Across the board, there have been proposals to establish a set of best practices for AI uses that might be perpetuating unfair practices. Areas more likely to see regulatory intervention include facial recognition, social scoring, and algorithm practices that do more harm than good. While self-regulation is encouraged, some of the proposals today include potential fines of up to 4% annual revenue for noncompliance.

These new regulations will be part of a narrative that continues for the foreseeable future, and organizations that begin taking actions today will be the ones who are able to adapt quickly once proposals develop into real regulations.

Below are some resources to help kick-start AI governance and protection mapping within your organization, leveraging the foundation you may have already built for data privacy in the process.

1. Research report: Build your trust advantage: Leadership in the era of data and AI everywhere

This global C-Suite study digs deep into leaders that stand out in their ability to unite trust and data to surge ahead in their digital transformation. In each chapter, there are recommendations, based on analyses of comparative data and in-depth interviews, for how others can advance their own journeys.

2. Smartpaper: AI governance: Ensuring your AI is transparent, compliant, and trustworthy

Providing an introduction to the concept of AI governance and the tooling needed to support it, this Smartpaper provides a concise overview of what organizations need to understand as they craft their enterprise AI strategies. Helpful webinars are also included to expand your learning.

3. Website: Improving transparency and governance with AI FactSheets

After IBM announced the availability of AI FactSheets earlier this year, analysts said that this methodology should become the industry standard. A FactSheet is a collection of relevant information (facts) about the creation and deployment of an AI model or service, optimized to be shared via a data catalog. Increased transparency provides information for AI consumers to better understand how an AI model or service was built and to determine if it is appropriate for their objective.



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IBM has been a leader in advancing AI-driven technologies for enterprises and has pioneered the future of machine learning systems for multiple industries. Based on decades of AI research, years of experience working with organizations of all sizes, and learnings from more than 30,000 IBM Watson engagements, IBM has developed critical technologies to support high standards of data privacy and AI protection.

Read this blog to learn about the latest IBM Watson product announcements designed to build trust in data, models and processes. Then dig a little deeper with this eBook on how a modern data catalog provides a strong foundation for your data and AI journey.

Join session 1374 – Merging trusted AI with data privacy during THINK 2021. Register for free.

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We are excited to announce that IBM Cognos Analytics has been named as an exemplary vendor in Ventana’s 2021 Analytics and Data Value Index.

This extensive RFI/RFP type approach evaluates BI vendors in seven key categories that are weighted to reflect buyer’s needs and IBM Cognos Analytics has been ranked first in the Overall Value Index in Product Experience, Customer Experience, Product Capability, Manageability, and TCO/ROI.

“Cognos Analytics is an AI-fueled business intelligence platform that supports the entire analytics cycle, from discovery to operationalization” – Ventana, Analytics and Data Value Index 2021

“Cognos Analytics offers one of the broadest sets of analytics among the products evaluated” – Ventana, Analytics and Data Value Index 2021

To get your copy of the 2021 Ventana Analytics and Data Value Index click here.

Cognos Analytics is uniquely positioned for success

The world has fundamentally changed since Covid-19 and the expectations of decision making along with it. More than ever before, faster pivots are needed requiring access to large volumes of disparate data, accelerated time to insights and more collaboration. Economic pressures are driving new decisions on the total cost of analytics and organizations are streamlining vendors to fewer choices looking for alternative pricing, flexible deployment models and consolidated analytics stacks.

Next generation analytics and BI

Our vision at IBM Cognos Analytics is to become your AI co-pilot with an integrated, easy to manage, and extensible data and analytics platform powered by IBM Cloud Pak for Data.

IBM Cognos Analytics is:

A co-pilot for business users to make decisions more quickly & confidently
In a post-pandemic world, business leaders can act quickly, analyze different scenarios, and look beyond historical data to augment their decision-making. We are making it easier and simpler to leverage AI and advanced analytics to reframe how businesses solve problems.

A trusted, secure, governed multi-cloud for analytics that scales and integrates
Reduced risk and cost from a fully governed analytics experience that scales to support any size business and complexity. Enhanced value with Cloud Pak for Data platform integration that goes beyond BI (i.e. data science, RPA, data virtualization, planning, data cataloging, etc.)

Everything you need, all in one place
An all-inclusive end-to-end analytics experience from AI assisted discovery to operational reporting in a single license reducing the risk and cost of multiple point solutions

At IBM Cognos Analytics people will always be at the heart of our products. And together, we will continue to elevate analytics and ensure we guide users to ask questions, explore possible futures, and feel empowered to link data, models, and insights to the business problems they are meant to solve and the decisions they are meant to inform. We are the co-pilot for businesses to be agile, resilient, and competitive for whatever tomorrow may bring.

See for yourself with Cognos Analytics trial.

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Businesses are facing significant disruptions. As they emerge from COVID-19, they’re seeing a shift to digital, changing consumer behaviors and ways of working. But how do leading companies go beyond resiliency in the face of all this change?

According to recent estimates, eight out of ten companies believe their experience with COVID-19 underscored digital immaturity, and 96% plan to speed reinvention within approximately five years. Smarter businesses are infusing the intelligence of AI and the agility of hybrid cloud to more predictively operate and engage the world. AI for business is essential as part of this reinvention.

Organizations need to predict what’s next and make decisions informed by data so they can adapt to act on those decisions in near real time. A hybrid approach allows companies to tap into all of their data regardless of where it lives.

AI for Business:  Become a predictive and resilient digital enterprise

Join us for AI for Business at 1:00 PM EST on May 11 where we break down the ingredients of a successful AI engagement with industry leaders who have made the grade. This segment follows IBM Chairman and CEO Arvind Krishna’s Noon EST keynote address and a short greeting from Bridget van Kralingen, Senior Vice President of IBM Global Markets.

As companies look to build their resiliency and adapt in the face of change, unlocking value from data can make all the difference. According to IBM marketing, only 0.5% of data is analyzed and used. Just a 10% increase in data accessibility could add up to $65 million in additional net income for a Fortune 1000 company.

In this 30 minute session, you’ll discover how top organizations Citigroup and Verizon are putting data to work using IBM’s prescriptive method. Following on the heels of March’s Palantir for IBM Cloud Pak for Data announcement, you’ll learn how the new partnership is set to make AI easy for companies and their users.

Highlights:

• Fast Company’s Editor-in-Chief Stephanie Mehta cites the accelerated pace of technology transformation, and the growing appetite for a hybrid approach that lets data scientists access information from the data center, the cloudor the edge.
• Marc Sabino, Chief Auditor – Head of Innovation, Citigroup, shares with IBM Data and AI General Manager Daniel Hernandez how AI is streamline workflows and changing how his audit team works.
• Shyam Sankar, Palantir’s Chief Operating Officer, reveals how AI can finally get into the hands of operational users, tackling the last mile to AI.
• Sal Marraccino, Head of Data Governance and Architecture at Verizon, outlines how his organization is overcoming obstacles and automating data governance.

Following AI for Business, don’t miss Trends and Directions, three 15-minute segments that dive into IBM’s vision for how organizations cope with a more complex data environment.

Trends and Directions brings together leaders from EY, Highmark Health, Providence Health, Wunderman Thompson, ING, Anthem Blue Cross Blue Shield and Ancestry to discuss expert perspectives on three AI and hybrid cloud topics.

How trustworthy is your AI? hosted by Seth Dobrin, Ph.D., IBM Global Chief AI Officer

AI for business is only as good as how much people trust it: to help us make decisions; to serve our customers, to continually plan and adjust our business cycles, to place bets on our future, and help us transform how we operate and engage the world. How does AI become and stay trustworthy? This session unfolds the three-part answer: governed data and AI technologies within an open and diverse ecosystem rooted in ethical principles.

How can you get more from your data? led by Steve Astorino, IBM, Vice President of Development and Data and AI Canada Lab Director 

To achieve AI success, you need to address foundational data integration, governance, and trust issues. In this session, you’ll learn the importance of modernizing your information architecture to provide a common data foundation — and trusted AI outcomes to fuel your competitive advantage with reduced risks.

How can AI help your business thrive? with Teresa Hamid, IBM Fellow, Global Business Services

As the world deals with COVID-19, businesses faced unprecedented challenges. Many turned to AI to become smarter businesses and ensure that they can react to changing market conditions, and ensure the health and safety of their employees and customers. In this session, you’ll learn how companies are using AI to achieve greater resiliency and predictability in the face of uncertainty. 

Take the next step and learn about how AI for business can help your organization thrive.

Register for Think today

AI for business: Become a predictive and resilient digital enterprise takes place May 11 at 1:00pm EST.

Learn more about AI for business

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