Resources

Data Science Fails: Building AI You Can Trust

Data Robot

The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. AI has the power to transform countless industries — including the healthcare, banking, insurance, and public service sectors, to name just a few — by introducing new efficiencies and revealing new opportunities for companies to solve problems. Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology.

5 Things a Data Scientist Can Do to Stay Current

Data Robot

Demand for data scientists is surging. With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. And more is being asked of data scientists as companies look to implement artificial intelligence (AI) and machine learning technologies into key operations.

The Empowered Consumer

Data Robot

Across the retail sector, organizations are facing a new challenge in the form of the empowered consumer. Armed with a world of information at their fingertips, consumers are looking for information that is tailored to them about what to buy, where to buy it, and where the best deals are. When it comes to working with the empowered consumer, AI has the power to help your business thrive by leveraging your own data to better understand your customers.

Transforming the Digital Customer Support Journey

Vanilla Forums

As customer demands continue to grow, more organizations are looking to digitize their customer support journey, since the more traditional methods of support such as the call-center are no longer fulfilling customer needs. These digital transformations, however, are not a one-step fix, but rather a journey. This not only requires a careful reassessment of existing customer support models, but also the implementation of modern customer-centric support solutions.

How Embedding AI-Powered Analytics Can Give You a Competitive Advantage

Embedding dashboards and reports aren’t enough. Futureproof your application by offering instant, actionable insights that will give you and your customers a competitive advantage.

Intelligent Process Automation: Boosting Bots with AI and Machine Learning

Data Robot

Across all sectors, companies are learning that they can transform their businesses by embracing Intelligent Process Automation, or IPA. With the pairing of AI and RPA, IPA adds a new layer of intelligent decision-making processes to automated RPA tasks. By automating repetitive work, and adding the ability to automate intelligent decision making, intelligent automation frees up your most valuable resources – your employees – to spend more time on higher value and more strategic work.

Humility in AI: Building Trustworthy and Ethical AI Systems

Data Robot

AI is becoming ubiquitous. More and more critical decisions are automated through machine learning models, determining the future of a business or making life-altering decisions for real people. The number of critical touch points is growing exponentially with the adoption of AI. But with the incredible pace of the modern world, AI systems continually face new data patterns, which make it challenging to return reliable predictions.

How Banks Are Winning with AI and Automated Machine Learning

Data Robot

Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. But times are changing. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics.

How Banks Are Winning with AI and Automated Machine Learning

Data Robot

Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. But times are changing. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics.

Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

Data Robot

Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. With the emergence of enterprise AI platforms that automate and accelerate the lifecycle of an AI project, businesses can build, deploy, and manage AI applications to transform their products, services, and operations.

Product Analytics Playbook: Mastering Retention

Amplitude

Do you care about growth? Then you should care about user retention. Without it, your company will end up with no long-term users, leaving no room for growth. By reading this eBook you will learn: How to gauge your business's true growth. How to keep newly acquired users for good. The importance of analyzing retention. How to bring back dormant users.

The Product Drive Book

Product Drive Book by Userpilot Learn the latest trends in Product from Thought-Leaders in the Industry. 2000+ Attendees | 20 + Top Speakers | 10 hours of Product Summit squeezed into 5-minute easy-to-read summaries.

A Guide to Online Communities for Enterprise Organizations

Vanilla Forums

This guide will provide you with an overview of what procuring an online community can do for enterprise organizations, including: How community compliments enterprise priorities. How community addresses key challenges. Crucial enterprise community features to look for when assessing vendors. Strategic community programs that drive enterprise community success.

9 Developer Enablement Practices to Achieve DevOps at Enterprise Scale

Datadog

In this eBook, Christian Oestreich, a senior software engineering leader with experience at multiple Fortune 500 companies, shares how a metrics-driven mindset can dramatically improve software quality and enable DevOps at enterprise scale.

Trends and Benchmarks in Product Management 2020 Global Report

A comprehensive global report on Product Management with over 70 graphs based on a survey of over 2000 product professionals.

Product Manager's Dilemna

Should Product Managers be pragmatic or idealistic?

How ZoomInfo Helps Overcome the Top Pain Points of Inside Sales

ZoomInfo

Recent digital transformation has shifted the B2B landscape by ushering in the era of buyer empowerment. With more access to user reviews, analyst opinion, and industry research, decision-makers are more informed than ever while navigating what is now known as the “buyer’s journey.”. How can sales organizations meet the buyer along the journey at the perfect time?

Pressure Points: How to Ensure Your B2B Pipeline Passes Inspection

ZoomInfo

This eBook highlights best practices for developing a pipeline management process that helps sales leaders and their team C.L.O.S.E (you’ll see what we mean in this eBook) more revenue through data-driven prospecting, stage analysis, and subsequent sales enablement.