Resources

Realizing the Benefits of Automated Machine Learning

Data Robot

How are organizations using machine learning and artificial intelligence (AI) to derive business value? Renowned author and professor Tom Davenport explains the rise of automated machine learning, its benefits, and success stories from businesses that are already using it.

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!

How to Choose an AI Vendor

Data Robot

This report explores why it is so challenging to choose an AI vendor and what you should consider as you seek a partner in AI.

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.

MLOps 101: The Foundation for Your AI Strategy

Data Robot

Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability.

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.

10 Keys to AI Success in 2021

Data Robot

Capitalizing on the incredible potential of AI means having a coherent AI strategy that you can operationalize within your existing processes. Learn how organizations are overcoming hurdles and realizing the enormous rewards that AI can bring to any organization.

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. However, there’s no team better suited to lead that charge than the marketing department.

5 Things a Data Scientist Can Do to Stay Current

Data Robot

DataRobot together with Snowflake – a leading cloud data platform provider — is helping data scientists stay current with the latest technology and data science best practices so that they can excel in an increasingly AI-driven workplace. Five Things a Data Scientist Can Do to Stay Current offers data scientists guidance for thriving in AI-driven enterprises.

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.”

The Empowered Consumer

Data Robot

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. Read our ebook, The Empowered Consumer, to learn more about how AI can help you connect with your customers.

Data Science Fails: Building AI You Can Trust

Data Robot

The new DataRobot whitepaper, Data Science Fails: Building AI You Can Trust, outlines eight important lessons that organizations must understand to follow best data science practices and ensure that AI is being implemented successfully.

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.

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.

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.

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.

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.

Marketing Ops: The New Revenue Hero

ZoomInfo

As data continues to play a starring role in today’s B2B organizations, both marketing and sales operations professionals are poised to solidify their place as critical revenue drivers. In particular, the evolution of the Marketing Operations (Ops) role has created a new standard in marketing and has become a vital component of an organization’s success.

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