Daily Archives: April 29, 2021

Three resources to help you understand today’s data and AI regulatory landscape

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.

  1. 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.

  1. 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.

Learn More

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.

The post Three resources to help you understand today’s data and AI regulatory landscape appeared first on Journey to AI Blog.

The Era Of Continuous Intelligence

In this contributed article, James Corcoran, Senior Vice President of Engineering at Kx, discusses the era of ‘continuous intelligence,’ namely the ability for organizations to make smarter decisions derived from insights gained from analysis of data – whether real time, historic or both in as short a time frame as possible.

IBM Cognos Analytics named an exemplary vendor in Ventana’s 2021 Analytics and Data Value Index

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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