More data, more problems. Do you struggle to find, understand, and trust data in your daily work? A data catalog will make your work life easier -- and more productive. But where do you start? This guide offers handy tips for evaluating data catalogs.

Companies are expected to spend nearly $23 billion annually on AI by 2024. What could go wrong? This report explores AI obstacles, like inherent bias and data quality issues, and posits solutions by building a data culture.

Marketers highly value email as an effective, reliable channel to engage with your audience and drive revenue for your company. Yet, to reap the benefits, you must ensure your campaigns reach their intended recipients. Data Axle’s deliverability experts developed this guide to help you overcome the challenges that stand in the way of optimal inboxing.

Speech is a powerful tool for the enterprise with the ability to unlock insights and automate actions. This space is growing and almost every company is investing in some form of Automatic Speech Recognition (ASR) - but the question remains, are they using speech to its full potential? To answer this question, Deepgram partnered with Opus Research to examine the state of ASR in the enterprise across 400 decision-makers.

Just as the tech industry revolves around innovation, so does technical recruiting. Modern recruiters must commit to actively adapting and advancing their hiring strategies to advance their careers by attracting top candidates in a competitive landscape. This step-by-step guide is designed to provide technical recruiters with tips and tricks to achieve tangible results that accelerate their recruiting efforts—and career.

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.

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 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.

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.

Test Your Knowledge of Sales & Operations Execution. Many supply chain professionals have already taken this assessment spanning across multiple industries and 20 countries. The 15-question assessment takes only 5 minutes to complete. Take it now to see how your S&OE process scores and benchmark it against peers. Responses are aggregated and kept anonymous.

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.

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

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.

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

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.

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.

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.

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.