Selecting a graph database is an important decision that can shape the success of your organization. This guide is intended to assist your buying decision with side-by-side comparisons of graph databases from Amazon, DataStax, Neo4j, and TigerGraph.

Datadog

In this eBook from Datadog, Orderbird CTO Frank Schlesinger tells the story of the company’s journey from 99.9% uptime to 99.99% uptime. He explains why this seemingly small improvement is actually a major leap and describes the five key steps to get there.

One of the most crucial tools for contact center solutions is automatic speech recognition (ASR). Learn how Sharpen elevates their CX by arming agents with Deepgram's fast, accurate and reliable speech transcription to improve productivity in real-time.

Many companies are looking to redesign their supply chain network to lower costs, improve service levels and reduce risks in the new year. To do this, teams are finding that they need to perform network assessments more regularly and in-house. Scenario modeling is emerging as a key capability. To help you start 2021 strong, we updated our popular Buyer's Guide for Supply Chain Network Design Software with research insights and learnings.

Are You Betting on the Right Tools to Succeed in 2021? Get insights in this Gartner report to find out where to invest and what you should adopt as standard business practices. What’s inside? Gartner’s latest recommendations on tried and true capabilities. Find out what's essential to supply chain excellence. Research insights on new technologies. Read the latest insights on AI, IoT, network design, machine learning, prescriptive analytics and other hot technologies.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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?