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.

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.

Deliver insightful, data-driven information across your enterprise with Power BI paginated reports. Explore the advantages that Power BI offers over Cognos and learn how migrating to Power BI can be beneficial to your organization.

A complete handbook on implementing a code review culture in your organization. Written by Elaine Watanabe, it's a practical e-book with useful examples and references, and a must-read for all tech teams.

In this e-book written in partnership with Wesley Zapellini, he shared his vast in Managing Agile Teams. Finally, someone summarized in 5 practical strategies on how to improve any software development workflow. Real-life examples, charts, and graphs!

You need a Learning Management System when your courses and training programs need to be accessible online. Quickly build the perfect business case and easily determine which LMS will provide the best return on investment you need with this how-to eBook!

Revenera

Customers demand—and suppliers offer—a diverse mix of monetization models for Software and Digital Services related to IoT Devices. However, many suppliers still struggle to get a full view of what’s being used by customers, what is owed to the vendors, and how a product is being used across the customer’s business. Despite this problem, many suppliers have yet to take the step towards solutions that would provide them with these insights.

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.

The need for online learning is greater than ever so having the right LMS is absolutely crucial. Quickly, easily, and cost-effectively decide which Learning Management System is right for you with this 12-step guide from LMS implementation experts.

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.