Search Results for: big data

Big Data Will Open Up the Benefits of Sustainability Across the Agriculture Sector

In this special guest feature, Lindsay Suddon, Chief Strategy Officer for Proagrica, believes that now is the time for the agriculture sector to harness the power of data and work together to achieve increases in productivity, profitability, sustainability, food safety and security. It won’t just be just the challenges of climate change forcing the issue, it shall be the increasing groundswell of global consumer sentiment and demand for change too.

Why the Hype Around Big Data Misses the Point – and How Small Data Gets It Right

In this contributed article, Dr Lewis Z. Liu, Co-founder & CEO of Eigen Technologies, suggests that to make data useful and enable AI to create the tangible, real-world positive outcomes we expect from our data, it’s time for businesses to pivot away from Big Data toward Small Data. Small Data provides the precise, relevant, and impactful results we were all told Big Data could provide, while maintaining a level of flexibility and scalability that Big Data, by virtue of its enormous volume and expense, simply cannot.

Big Data in Life Sciences – Why ‘doing things the old way’ is the Biggest Barrier to Progress

In this special guest feature, Zachary Pitluk, Ph.D., Vice President of Life Sciences and Healthcare at Paradigm4, highlights how real insight comes, not from data collection, but from intelligent data curation, computation, and application. Many are convinced that the life sciences industry inertia needs to change in terms of willingness to take a step back from old school wisdom and consider new methods and new approaches.

2022 Can Be Insurance’s Big Data Moment

In this special guest feature, Robert Clark, CEO of Cloverleaf Analytics, discusses trends and other factors driving what he believes to be a major year for big data analytics and BI in insurance in 2022. The article will outline a few major reasons why insurance can become a standard-bearer regarding innovative uses of big data and analytics.

Big Data Industry Predictions for 2022

Welcome to insideBIGDATA’s annual technology predictions round-up! The big data industry has significant inertia moving into 2022. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming. We were very encouraged to hear such exciting perspectives. Even if only half actually come true, Big Data in the next year is destined to be quite an

2022 Trends in Big Data: The Data Marketplace Evolution

In this contributed article, editorial consultant Jelani Harper discusses 2022 trends in big data, data meshes, and composability. As 2022 beckons, the big data ecosystem finds itself in a transitional state of flux that may very well redefine everything you know—or thought you knew—about it. The cloud is still its unambiguous centerpiece, but is moving ever closer to the edge. Artificial Intelligence is still its media darling, but may soon yield that spot to quantum computing. Data fabrics are more prevalent than ever, but so is the rise of the data mesh concept.

T-Shaped Teams: A New Roadmap for AI and Big Data Adoption

CFA Institute, the global association of investment professionals, released new industry research that identifies a new organizational approach for enabling financial institutions to develop and successfully execute artificial intelligence and big data strategies.

Infographic: How to Leverage Big Data Tech in Your Construction Company

The big data market is expected to reach $99.31 billion this year, and companies that take advantage of big data analytics have reported increases in revenue, productivity and efficiency. The visual below from our friends over at BigRentz shows how construction companies can leverage big data and take advantage of new analytics technologies—from 3D modeling to material tracking and on-site safety sensors. 

ITOps and Big Data Come of Age

In this contributed article, Bhanu Singh, SVP of Engineering and DevOps at OpsRamp, discusses how there are new demands on IT operations to deliver more inclusive data intelligence that can support decision-making at large across IT and the business. ITOps teams have a growing mandate to positively influence business and customer-related outcomes; their ability to collect, analyze and use data to support many types of decision-making is now top-of-mind.

Turning Big Data into better data with MLOps

In this special guest feature, Chida Sadayappan, Lead Specialist for Data Cloud and Machine Learning at Deloitte Consulting, discusses Machine Learning Operations (MLOps). This emerging discipline uses automation to accelerate ingestion of data and to more quickly develop, test, deploy, and monitor cloud machine learning (ML) models that use Big Data. Taken together, these steps comprise governance practices that help ensure the integrity of data throughout its life cycle.