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Introducing Intelligent Data, a podcast from Perficient

Perficient

The COVID-19 pandemic has done a great job revealing trouble spots and gaps in many companies’ technology strategies this year. If you’ve discovered that your data strategy and technology solutions need improvement, then this podcast is for you. What to Expect in Season 1 of Intelligent Data. Subscribe now!

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Byte-3 – Data is the new Tofu ,Data Architecture Modernization

Perficient

Data is the greatest asset for any organization. Data architecture modernization provides the ability to understand the information effectively, use the data efficiently for market growth, create new revenues, and gain customer satisfaction. . Predictive Analysis : Tap into predictive actions rather than reactive reactions.

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[Podcast] Healthcare Data is Changing Consumer Care

Perficient

Healthcare leaders have access to more healthcare data and technology than ever before allowing them to transform patient and member care. Healthcare Data is Changing Consumer Care. Data, analytics and healthcare consumerism [3:10]. Triple aim and leveraging third party data (Peloton, Fitbit, etc.) [9:10].

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Data – The Lifeblood of Intelligence Automation

Perficient

It’s not new news and it doesn’t need to be complicated; it’s just a revolution of how we leverage data! Let’s take a quick dive into the data-driven universe of AI (i.e., This article breaks down how data powers intelligence automation. intelligence automation).

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Why B2B Contact and Account Data Management Is Critical to Your ROI

64% of successful data-driven marketers say improving data quality is the most challenging obstacle to achieving success. The digital age has brought about increased investment in data quality solutions. However, investing in new technology isn’t always easy, and commonly, it’s difficult to show the ROI of data quality efforts.

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Perficient’s Cloud Modern Data Platform Approach – Customer Journey & Capabilities

Perficient

can leverage the Modern Data Platform approach. Marry in people, process and technology and you have Producers and Consumers with a great value add. The explosion of data and advances in digital technologies has completely disrupted our industry as service / solution providers. Align them to Scores.

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[Podcast] Collecting and Connecting Data for Interoperability

Perficient

This means that the meaning of interoperability now shifts to connected devices, data privacy, and more. In season 1 episode #6 of the Intelligent Data Podcast , host Arvind Murali and his guest Mike Porter, Perficient’s Chief Strategist for CRM and Data, discuss HL7 FHIR standards, data privacy, data governance, and more.

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Data Science Fails: Building AI You Can Trust

Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology. Organizations must feel confident that human error did not inadvertently contribute to AI bias that resulted in inaccurate or misleading findings.

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How to Stay Competitive in the Evolving State of Martech

Marketing technology is essential for B2B marketers to stay competitive in a rapidly changing digital landscape — and with 53% of marketers experiencing legacy technology issues and limitations, they’re researching innovations to expand and refine their technology stacks.

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The Executive Guide to Generative AI

Generative AI is taking the world by storm, but the questions that all CEOs, data leaders, and AI leaders are being asked are: What are we going to do about it, and what is our plan? As a leader, it's going to be tempting for your team to want to tinker with the technology, but it’s important to focus your team on the value.

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The Forrester Wave™: AI/ML Platforms: Vendor Strategy, Market Presence, and Capabilities Overview

As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams. The Forrester Wave™ evaluates Leaders, Strong Performers, Contenders, and Challengers.

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Addressing Top Enterprise Challenges in Generative AI with DataRobot

Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.

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Reaching Unreachable Candidates

Speaker: Patrick Dempsey and Andrew Erpelding of ZoomInfo

Find and connect with the right talent to fill roles fast with these tools: More data! Advanced search: Narrow the search to find candidates using specialized filters like education, and current company technologies. We have added 10's of millions of personal emails and mobile records.

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Trusted AI 102: A Guide to Building Fair and Unbiased AI Systems

Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data. The risk of bias in artificial intelligence (AI) has been the source of much concern and debate.

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MLOps 101: The Foundation for Your AI Strategy

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 machine learning lifecycle through automation and scalability. Download this comprehensive guide to learn: What is MLOps? Why do AI-driven organizations need it?