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Why You Should Add DevOps Metrics to Your Data Fabric

In this contributed article, Brett Stevens is the co-founder of Software.com, a DevOps metrics platform that helps teams measure and improve their organization’s DevOps performance, discusses how making DevOps data more visible and easily accessible helps teams improve their software delivery and gives them an edge over their competitors.

Zilliz Announces Key Contributions to Milvus 2.1, the Leading Open-Source Vector Database for Structured and Unstructured Data

Zilliz, whose founders created the Milvus open-source project, announced major contributions to the Milvus 2.1 release. The added functionality further bridges the gap between data pools, removes data silos, and offers performance and availability enhancements to address developers’ most common concerns. Milvus is one of the world’s most advanced vector databases, capable of managing massive quantities of both structured and unstructured data to accelerate the development of next-generation data fabric.

The World is Moving Beyond Big Data, According to Ocient Survey of 500 Data and Technology Leaders

Ocient, a leading hyperscale data analytics solutions company serving organizations that derive value from analyzing trillions of data records in interactive time, released a report, “Beyond Big Data: The Rise of Hyperscale.” The report is based on a survey of 500 data and technology leaders, across a variety of industries, who are managing active data workloads of 150 terabytes or more. The purpose of the survey and report is to uncover key trends around how organizations are managing the shift from big-data volumes toward ingesting, storing and analyzing hyperscale data sets, which include trillions of data records, and the expected technical requirements and business results from that shift. 

Beyond CRUD – Why Data-Driven Insight is Taking its Next Leap Forward

In this special guest feature, Darin Briskman, Director of Technology, Imply, discusses the history of database evolutions of relational CRUD (create, read, update, delete) from data warehousing into the modern era, and why there is a need for architecture to succeed beyond CRUD. Also included is a look at real-time analytic databases that combine CRUD with streams for high concurrency and subsecond response times across billions of data points, such as Apache Druid, with advice intended to help ready developers for the next generation of data analytics.

MLOps | Is the Enterprise Repeating the Same DIY Mistakes?

In this contributed article, Aaron Friedman, VP of Operations at Wallaroo.ai, discusses why hiring data scientists isn’t the answer to unlocking ML value (especially at a time when finding qualified candidates is harder than ever).

Climate Change is an Existential Threat, and Businesses Need Data to Fight It

In this contributed article, Or Lenchner, CEO, Bright Data, examines how public web data collection is essential to ESG efforts in 2022. The recent International Panel on Climate Change report warned that we aren’t doing enough to avoid the dire impacts of climate change – businesses must use every tool at their disposal to support the fight against climate change, especially quality data.

The Conceptual Data Model’s Unwavering Role in Data Governance 

In this contributed article, editorial consultant Jelani Harper highlights how in an age in which data governance has become all but synonymous with data privacy and data protection, there are numerous aspects of data management that are regarded much differently than how they traditionally were. Data modeling, for example, is frequently considered a dimension of data engineering or data science.

How AI Can Prevent Rising Candidate Fraud

Candidates are lying and cheating to get hired more than ever. INSIDER recently cited a study, “The Future of Candidate Evaluation,” by our friends over at Glider AI that found candidate fraud has nearly doubled since before the pandemic. As INSIDER reported, more companies believe AI is the solution.

Doctors Find Artificial Intelligence is the Best Prescription for Expert Assistance and Patient Care

In this special guest feature, Amir Atai, Ph.D. is Co-Founder and CEO of Sway AI, examines how AI is changing healthcare by improving the efficiency and quality of care on many fronts, starting with administration. The article also does a deep dive into the challenges of using AI in healthcare and how no-code AI and machine learning are automating mundane tasks and adding new diagnostic and treatment solutions to make doctors and nurses more efficient.

How AI and Data Science Can Modify the VC Industry

In this contributed article, Jonathan Serfaty, Head of Data Science, Telstra Ventures, discusses how Venture Capital (VC) is one of the most powerful mechanisms in modern society for catalyzing innovation – particularly in technology – however, ironically, the VC industry itself is not particularly innovative. The truth is that the VC’s have been slow to adopt the AI technologies they help fund.