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.

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.

Rethinking Information Governance In The Age of Unstructured Enterprise Data

Today’s organizations are faced with the overwhelming challenge of managing, finding, and leveraging their information. This eBook discusses a newly discovered information discipline and is filled to the brim with helpful information such as: How to manage information across multiple sectors of the business. How to promote IG leadership. How to satisfy stakeholders with competing priorities.

Complimentary Gartner Report: Improve S&OP Decision Making with Scenario Planning

Traditionally, planning teams have aimed for one number, one plan. But with uncertainty on the rise, they need to build more flexibility into their process to account for changing business conditions. It’s time to shift gears and embrace variability with different scenarios. Download this complimentary report to learn about: Gartner’s research findings on the role of scenario planning in S&OP.

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.

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.

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.

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 this global pandemic. Any return to normalcy may seem far-off, but sales and marketing are on the front lines of restarting the economy.

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!

The Ultimate Marketing Efficiency Checklist

ZoomInfo

When times are tough and marketers are asked to do more with the same (or less), we have to make tough choices. However, you might be able to squeeze more value from the tools and processes you’re already using. Here are 7 creative ways marketers can work smarter (not harder) - with the resources you already have!