Making Sense of the Industrial Analytics Market

— Automation World

As organizations continue to see the value in industrial analytics, making sense of the sheer amount of data produced can be a difficult task. Finding the right product and developing a proper workflow is important to get long-term use out of the system.

Risky Business: Assessing Protein Aggregation Grows Increasingly Challenging

— BioPharm International

Current and newer biologic modalities pose increasingly complex challenges to the detection and characterization of protein aggregates.

Applying Advanced Analytics in the Water and Wastewater Sector

— Water & Waste Digest

How advanced analytics software can be used to create insights & improve process efficiency

Identifying new business models and technologies within SDG 9

— Valuer

This month, the SDG Forecast focuses on SDG 9: Industry, Innovation and Industrialization and demonstrates how corporations can engage with the goal by embracing innovative approaches to energy efficiency and decentralization, public transport and traffic management, sustainable construction, and industrial automation.

2020 AFPM Summit: Advanced analytics drive IIoT success

— Hydrocarbon Processing

As data provided by IIoT implementations continues to grow, corresponding demands on SMEs will only increase, driving the need for advanced analytics to find more insights faster.

Pharma finds its digital groove

— Pharma Manufacturing

An upbeat outlook mixed with better technology puts transformation back on track.

Much Ado About Data Quality

— Automation World

Ensuring proper data quality for digital transformation initiatives lies in a two-pronged approach that emphasizes technology and human communication.

Improving operations with distributed work teams

— Control Global

Current remote work challenges are creating opportunities for the short and long term.

Decoding Data in the Pharma Sector with Advanced Analytics

— Process Worldwide

Pharmaceutical companies are steadily adopting advanced analytics to understand their huge data sets in order to make better business decisions with greater accuracy, efficiency and speed. PROCESS Worldwide offers an insight into the application and requirements of this unique analytical technique in the pharma sector.

Avoid common data preparation mistakes to improve analytics results

— Hydrocarbon Processing

Time series data preparation in process manufacturing applications presents complex challenges, such as differences in data sampling rates, inconsistent or custom units, and the need to access data in multiple systems, among other issues.