Resources

7 Tips for Developing an In-Application Messaging Strategy

Revenera

Use In-App Messaging to Drive Unlicensed Users to Your Cart. Software vendors are always looking for new ways to convert prospects to customers; and if you're selling your software online, driving and converting shopping cart traffic is crucial to driving new revenue. You will learn how to: Identify unpaid users of your software. Alert these users of their unlicensed status.

5 Key Elements for Building a Successful Data-Driven Product

Leading brands and local businesses alike are tapping into varied business and consumer data to power their products and meet consumers’ ever-evolving needs. But companies need to remember that a product can only be as good as the data that powers it. When selecting data providers, companies must ensure they’re tapping into comprehensive, high-quality streams of fresh information which can be easily integrated into their products in a privacy-compliant manner.

The 7 Ways to Source and Attract Diverse Technology Talent

Just talking about diversity and inclusion won’t move the needle. Diversity, equity, and inclusion efforts are at the forefront for organizations looking to recruit and retain top talent, but nowhere does this remain more of a challenge and opportunity than in the tech sector. In this guide, we provide seven strategies organizations can use to source and attract diverse tech talent.

The Retailer’s Playbook for Customer Acquisition

The economic disruption of 2020 has left retailers facing a host of barriers to growth. Now more than ever – one need remains consistent: a successful customer acquisition program. We developed this guide to help retailers build a data-centric acquisition program that lowers their acquisition costs, eliminates wasteful spending, attracts high-value customers and provides a competitive advantage in a tight market.

The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

In an effort to be data-driven, many organizations are looking to democratize data. However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs. To address this, a next-gen cloud data lake architecture has emerged that brings together the best attributes of the data warehouse and the data lake.

Deliver Effective Online Education and Events Your Members Will Love

This guide identifies the biggest challenges for associations moving their training online and provides practical solutions so that you can hit the ground running. Download now to keep your members engaged and growing even in times of COVID-19.

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. But it’s not always easy for organizations to do. In our 10 Keys to AI Success in 2021 eBook, we draw from the engaging conversations we’ve had with guests on our More Intelligent Tomorrow podcast series to show how organizations are overcoming hurdles and realizing the enormous rewards that AI can bring to any organization.

How to Choose an AI Vendor

Data Robot

You know you want to invest in artificial intelligence (AI) and machine learning to take full advantage of the wealth of available data at your fingertips. But rapid change, vendor churn, hype and jargon make it increasingly difficult to choose an AI vendor. 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.

Realizing the Benefits of Automated Machine Learning

Data Robot

While everyone is talking about machine learning and artificial intelligence (AI), how are organizations actually using this technology to derive business value? Renowned author and professor Tom Davenport conducted an in-depth study (sponsored by DataRobot) on how organizations have become AI-driven using automated machine learning. In this white paper, Davenport explains the rise of automated machine learning, its benefits, and success stories from businesses that are already using it to reali

MLOps 101: The Foundation for Your AI Strategy

Data Robot

Many organizations are dipping their toes into machine learning and artificial intelligence (AI). However, for most organizations embarking on this transformational journey, the results remain to be seen. And for those who are already underway, scaling their results across their organizations is completely uncharted waters. 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 mac

7 Data-Driven Lead Generation Strategies That Drive Growth

Delivering sales-ready leads is a constant challenge for B2B marketers. Check out these 7 strategies to find and target high-value prospects who are ready to buy, and motivate them to act. Get the free guide.

Going Beyond Account-Based Marketing: Why ABM-i is the Wave of the Future

Evolve beyond account-based marketing and create a hyper-personalized approach that considers stakeholders as individuals. Learn 8 strategies to use data and technology to create scalable yet personalized ABM programs. Download the guide.

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.

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.

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.

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.

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