Resources

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. But in order to reap the rewards of Intelligent Process Automation, organizations must first educate themselves and prepare for the adoption of IPA. In our ebook, Intelligent Process Automation: Boosting Bots with AI and Machine Learning.

Product Analytics Playbook: Mastering Retention

Amplitude

Why do your users churn? In this guide you'll learn common product pitfalls and how to fix them.

6 Steps to Improving Your Application’s Analytics Experience

No one designs bad dashboards and reports on purpose. So why do so many applications have terrible analytics experiences? Download this ebook for secrets to creating dashboards and reports your users will love.

Rethinking Information Governance In The Age of Unstructured Enterprise Data

Onna is breaking down how the concept of information governance has evolved and ways today’s businesses can develop a holistic framework to keep up with a rapidly accelerating datasphere.

The Best Sales Forecasting Models for Weathering Your Goals

ZoomInfo

Every sales forecasting model has a different strength and predictability method. It’s recommended to test out which one is best for your team. This way, you’ll be able to further enhance – and optimize – your newly-developed pipeline. Your future sales forecast? Sunny skies (and success) are just ahead!

Design Thinking for Product Teams: Leverage Human Insight Throughout Development

UserTesting

Product teams must increase their exposure hours with customers—seeing and hearing them. Human insights and the design thinking framework can be applied to your development cycle to help you build better products and experiences for your customers.

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. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.

4 Approaches to Data Analytics for Your Application

Selecting the right solution for your embedded analytics is crucial to the success of your application. But with so many solutions and vendors, how do you make this critical selection? Learn about the different approaches to analytics and the pros and cons for each.

B2B Pocket Playbook: End-to-End Guide to Sales Enablement

ZoomInfo

Sales enablement is the strategic process of providing sales teams with the content, guidance, and mentorship needed to engage targeted buyers. It’s all about equipping sales professionals with the tools they need to put their best-selling foot forward. And if sales teams want to continuously sell better -- and faster -- their sales enablement process must have a game-winning strategy. It's time for you to start selling smarter - and hitting your sales number - with the best B2B database in the market. Get started today.

The North Star Playbook

Amplitude

Every product needs a North Star. In this guide, we will show you the metrics product managers need to tie product improvements to revenue impact. If you are looking for a more-focused, less-reactive way to work, this guide is for you.

Add User Tests to Your Agile Process: Reduce Risk in Shipping New Products

UserTesting

Agile has become the go-to methodology for companies that want to reduce the risk involved in shipping new products. But how do you prevent building items nobody wants? If you wait to get user feedback until after development, then you’ve waited too long.

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. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.

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.

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. But in order to reap the rewards that AI offers, it is essential that businesses first address how their organizations are set up, from their people to their processes. Democratizing AI through your organization requires more than just software. It may require changing your operation models and finding the right guidance to realize the full breadth of capabilities.

Marketing-Led Post-COVID-19 Growth Strategies

ZoomInfo

Businesses are laying off workers, shutting their doors (some permanently), and struggling to react to the radical destruction that coronavirus (COVID-19) is doing to our society and communities. Most have already sustained massive damage, and we still have yet to see the scope of impact of the global pandemic that has upended the globe. Any return to normalcy may seem far-off, but sales and marketing are on the front lines of restarting the economy. When the dust settles, we have a responsibility to turn our shock and grief into fierce determination, and lead the charge of responsible, strategic, sustainable future growth. However, there’s no team better suited to lead that charge than the marketing department. Marketers are uniquely positioned to provide creative solutions to aid their organization in times of change and chart a course for navigating success.

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. In this ebook, we explore the concept of humility in AI systems and how it can be applied to existing solutions to ensure their trustworthiness, ethicality, and reliability in a fast-changing world.

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.”

5 Signs It's Time to Replace Your Homegrown Analytics

If you built your analytics in house, chances are your basic features are no longer enough for your end users. Is it time to move on to a more robust analytics solution with more advanced capabilities? Follow this free guide for tips on making the build to buy transition.

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