Resources

How Deepgram Works

As more businesses embrace online channel communications, the opportunity to unlock audio data increases. Regardless of whether you are evaluating Automatic Speech Recognition (ASR) solutions to get more value out of your call center data, build the next game-changing voice feature, or are just looking to save a lot of money on speech transcription, Deepgram is the platform to get you there.

How to Evaluate ASR Solution Brief

There is a fundamental difference between 1st generation, 2nd generation, and modern-day Automatic Speech Recognition (ASR) solutions that use 100% deep learning technology. Get the information you need to ensure your evaluation experience is efficient and yields the data you need to make your purchasing decision. In this solution brief, you will learn: The differences between 1st generation, 2nd generation, and modern-day ASR solutions.

How AI is Advancing Transcription

Until recently, the only way to accurately produce real-time audio transcription has been to employ voice writers to convert audio to text using dictation software and clean up the transcript before producing the final output. Today, many companies are deploying automatic speech recognition in place of voice writers. Learn about the key steps you can implement to advance your transcription pipeline.

Cloud-Scale Monitoring With AWS and Datadog

Datadog

In this eBook, find out about the benefits and complexities of migrating workloads to AWS, and dive into services that AWS offers for containers and serverless computing. Find out the key performance metrics for each service to track in order to ensure workloads are operating efficiently. Lastly, learn how a monitoring solution like Datadog can easily track every stage of a migration to AWS as well as the performance of each of your AWS services side-by-side.

Top Considerations for Building an Open Cloud Data Lake

Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data. In this paper, we explore the top considerations for building a cloud data lake including architectural principles, when to use cloud data lake engines and how to empower non-technical

Ultimate Guide to the Cloud Data Lake Engine

Cloud data lake engines aspire to deliver performance and efficiency breakthroughs that make the data lake a viable new home for many mainstream BI workloads. This guide describes how to evaluate cloud data lake engine offerings based on their ability to deliver on their promise of improving performance, data accessibility, and operational efficiency as compared with earlier methods of querying the data lake.

What E-Commerce Performance Metrics Are CTOs Monitoring?

Datadog

In this eBook, Danny Miles, CTO of Dollar Shave Club, reveals an efficient framework for thinking about and prioritizing the performance metrics that matter most to him, providing a blueprint for fellow e-commerce CTOs to follow as they evaluate their own business.

What is Contextual Analytics? The Next Evolution of Embedded Analytics

Download this whitepaper to learn what contextual analytics is, how BI platforms like Yellowfin revolutionize the way users discover insights from their data with native contextual analytics, and how it adds value to your software solution by elevating the user experience. This whitepaper will help you understand: What contextual analytics can do to elevate the value of your application.

Business Monitoring Systems: Using ML to Analyze Metrics

This whitepaper discusses how automated business monitoring solutions like Yellowfin Signals revolutionize the way users discover critical and relevant insights from their data. Download to learn: 5 business benefits of automated data discovery with ABM. The evolution of dashboards to automated business monitoring. How automated business monitoring separates insights from noise.

How to Select an Embedded Analytics Product: 12 Criteria to Consider

This report is designed to help readers select an embedded analytics product. It provides 12 criteria to consider when evaluating embedded capabilities. It also comes with a companion spreadsheet that enables users to score and compare products along these 12 dimensions and others they may add.

How an Enterprise CTO Boosted Uptime From 99.9% to 99.99%

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.

This Buyer’s Guide Will Help you Choose the Best Graph Database

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.

How Sharpen Elevates Contact Center CX with Deepgram

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.

The Pro’s Guide To Getting The Best ROI From Your New LMS

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!

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.