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Seven Steps to Effective AI Adoption for Your Enterprise

In this contributed article, Rinat Gareev, a Solution Architect and ML Practice Lead at Provectus, details 7 important steps that can help your organization overcome the barriers to successful AI adoption. Today many executives realize that the future success of their business may depend on the ability to effectively implement an AI strategy, to keep pace with rapid AI-driven digitalization across almost all sectors and industries. 

Faces as the Future of AI

In this contributed article, Dr. Sergey I. Nikolenko, Head of AI at Synthesis AI, discusses how in AI, problems related to human faces are coming to the forefront of computer vision. The article considers some of them, discusses the current state of the art, and introduces a common solution that might advance it in the near future.

5 Expert Tips to Help Build and Maintain a Powerful Customer Dashboard

In this special guest feature, Dave Hurt, CEO and Co-founder at Verbdata, discusses how building, implementing, and maintaining dashboards requires a deep understanding of how to invest resources and time in product and engineering. While this task can be laborious, to begin with, planning ahead not only ensures customer satisfaction and optimum performance but provides actionable insights to assist the decision-making process. 

2022 Trends in Data Modeling: The Interoperability Opportunity

In this contributed article, editorial consultant Jelani Harper offers some intriguing trends for 2022 centered around data modeling and the interoperability opportunity. A plethora of methods including data fabrics, revamped cloud native Master Data Management capabilities, and governance frameworks employing cognitive computing to point-and-click at sources for detailed cataloging of their data are viable means of implementing data models across the heterogeneity of the modern enterprise’s data.

KDD 2021 Celebrates Winning Teams of 25th Annual KDD Cup

The Association for Computing Machinery (ACM) Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) recognized the winning teams of this year’s KDD Cup, the annual competition held at KDD 2021, the premier interdisciplinary conference in data science. KDD Cup 2021, which took place virtually Aug. 14-18, 2021, crowdsourced participants who are helping to solve challenges within the knowledge discovery and data mining industry, providing a platform for aspiring and experienced data scientists alike to build their professional profiles and network with leading professionals in the field during KDD 2021. 

How Governing Observability Data is Critical to ESG Success

In this contributed article, Nick Heudecker, Senior Director of Market Strategy at Cribl, discusses how observability data comprises the logs, events, metrics, and traces that make things like security, performance management, and monitoring possible. While often overlooked, governing these data sources is critical in today’s enterprises. The current state of observability data management is, at best, fragmented and ad hoc. By adopting an observability pipeline as a key component in your observability infrastructure, you can centralize your governance efforts while remaining agile in the face of constant change.

Is Data a Differentiator for Your Business? If So, Traditional OCR Cannot Be An Answer

In this contributed article, Ankur Goyal, CEO and co-founder of Impira, discusses how to make the most of your OCR investment with AutoML. Automated Machine Learning is a nascent AI technology that exposes the power of machine learning (ML) to a much broader audience than data scientists and technologists.

Data: The Defining Language in Logistics Technologies

In this special guest feature, Marc Meyer, CCO at Transmetrics, discusses AI and just-in-time shipping: how tech models offer a competitive advantage for logistic businesses. Emerging AI innovations are a driving factor in defining the usability of data and will be pivotal to the supply chain and all adjacent processes—from dispatch to last-mile.

The State of Data Innovation 2021

Our friends over at Splunk, along with researchers at the Enterprise Strategy Group, set out to measure data innovation, surveying 1,250 senior IT and business decision-makers worldwide, across industries, at larger organizations to assess their data practices, their innovation infrastructure, and their results. This report, “The State of Data Innovation 2021” summarizes the findings.

insideBIGDATA Latest News – 10/20/2021

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.