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Democratizing Coding in a Connected World: Where Low-code/no-code Citizen Developers and Traditional Programmers Can Meet

In this special guest feature, Amy Hodler, Director of Graph Analytics and AI Programs at Neo4j, observes that although challenges may arise when fitting low-code/no-code into an advanced technical stack, companies that embrace the movement will only benefit from bringing on citizen developers who are ready to take on new challenges.

Why Modeling Languages are the Key to Data-Based Decision Making

In this contributed article, Angshuman Guha, CEO and Co-Founder of bipp, discusses how businesses are now looking at data in different ways, with CIOs forecast to spend more on data and business analytics than any other technology. This creates an urgent need to build trust in the data to realize the return on this investment. Data modeling languages ensure everyone uses the same vocabulary to represent critical KPIs and data. They improve data quality, collaboration, productivity while reducing inconsistencies, which all lead to trust.

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.

MLOps: Bringing AI to the Tactical Edge—and Making It Work

In this contributed article, Joel Dillon and Eric Syphard of Booz Allen, feel strongly that in order for machine learning to have a profound impact on data sharing for defense and the intelligence community, it’s imperative that data get communicated to warfighters at the tactical edge, where fast decisions are at a premium and compute power and connectivity are often scarce. It is critical that these edge use cases characterize and shape planning for AI and ML-driven investment as digitization continues to accelerate the pace of war.

The Next AI Frontier: Business Impact and ROI

In this special guest feature, Thameem Khan, VP of Product Strategy responsible for Platform vision at Boomi, has been watching a new wave of AI companies emerge that focus on providing value to the enterprise with predictions based on business goals. Any other purpose, he argues, turns AI into an expensive science project.

Geospatial Tech: A Silver Lining in the Pandemic

In this contributed article, Ajay K. Gupta, CISSP, MBA, CEO at HSR.health, discusses how geospatial data is now at the core of how most states in the US are responding to the COVID-19 pandemic. There is no doubt that GIS is demonstrating its incredible power during COVID. Integrating geospatial data with relevant statistics can help understand and evaluate the transmission and spread of a viral contagion.

4 Digital Experience Strategies You Need to Consider

In this special guest feature, Garrett Schwegler, Program Manager for Digital Commerce at Lucidworks, offers four strategies you should consider to help you focus and improve the digital experience for your users. More is better—more data, more insights, more happy customers and employees. More can also feel like ‘too much’ if you don’t know where to start.

Why Autonomous AI is (finally) Disrupting Corporate Finance for Good

In this special guest feature, Kunal Verma, CTO and Co-Founder of AppZen, discusses how technology like RPA and AI are having their breakout moments as company leaders realize they are no longer nice to have, but a business-critical tool to stay ahead of the competition.

Video Highlights: A Path Into Data Science

Are you interested in getting ahead in data science? On this TalkPython podcast episode, you’ll meet Sanyam Bhutani who studied computer science but found his education didn’t prepare him for getting a data science-focused job. That’s where he started his own path of self-education and advancement. Now he’s working at an AI startup and ranking high on Kaggle.