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Tag: Opinion

Interview: Mike Hudy, Ph.D., Chief Science Officer at Modern Hire
I recently caught up with Mike Hudy, Ph.D., Chief Science Officer at Modern Hire, to discuss the use of AI in the hiring process. Hint: it includes a robust and specific code of ethics, implementation with a specific problem in mind, and lots of transparency.
On the Edge of Something Big
In this contributed article, Tim Parker, VP of Network Strategy at Flexential, provides the top four reasons your organization needs an edge strategy now. Edge computing enables efficient data processing near the source to minimize latency, reduce bandwidth usage and lower costs while improving compliance, security and resiliency.
Conceptualizing the 2020’s: The Decade of the Internet of Things
In this contributed article, editorial consultant Jelani Harper highlights several lofty predictions about the number of connected devices in the IoT begin this year; many developments directly impacting its adoption rates will flourish in the coming 10 years, rendering it the premier expression of data management.
How to Translate Big Data into Big Business Value
In this contributed article, Dr. Michael Zeller, secretary and treasurer for ACM SIGKDD, and CEO of Dynam.AI, offers 4 important steps for businesses looking to turn big data into big value. While (big) data serves as the foundation, smarter, data-driven decisions deliver the business value.
Meeting The Data Demands of Automation
In this special guest feature, Lori McKellar, Senior Director, Product Marketing for AppWorks at OpenText, discusses how organizations across a plethora of industries are understanding the true importance of digitalization, and have started embarking on their automation journey in some shape or form. However, as a result of this process, …
What Employers Should Consider in Big Data Hiring
In this contributed article, freelance human Avery Phillips discusses the many things you need to consider when hiring for big data. Thinking about the nature of your organization, the potential roles, and responsibilities of your data employees, what you aim to achieve through the use of big data, and finally, …
Teacher Pay is Stagnating. Data and Analytics Could Give it a Boost
In this special guest feature, University of San Diego Assistant Professor in Economics, Alison Sanchez, argues that economic questions like how to increase teachers' pay can be answered through large-scale data analysis. There is not one single answer or explanation behind the widespread salary drop for teachers, but data and …
Why Partnerships Beat Outsourcing In Data Labeling
In this contributed article, Mohammad Musa, Founder & CEO of Deepen AI, discusses how good data labeling leads to better results, whether it’s in autonomous cars, medical imaging, or any other industry where AI thrives. Done poorly, the entire system suffers. Inefficiencies and inaccuracies become inevitable, while major safety risks …
Reality Bites: 3 Misconceptions that Can Lead to Microservice Mayhem
In this contributed article, Eric D. Schabell, Global Technology Evangelist and Portfolio Architect Director at Red Hat, discusses how microservices are core to organizations’ flexibility and agility in the digital world. But that doesn’t mean that microservices are right for every use case or even for every organization—at least, not …
Tomorrow’s Machine Learning Today: Topological Data Analysis, Embedding, and Reinforcement Learning
In this contributed article, editorial consultant Jelani Harper highlights how certain visual approaches of graph aware systems will significantly shape the form machine learning takes in the near future, exponentially increasing its value to the enterprise. Developments in topological data analysis, embedding, and reinforcement learning are not only rendering this …
How Analytics is Changing the Game for Sports – and Academia
In this contributed article, Darin W. White, Ph.D., Executive Director, Center for Sports Analytics at Samford University, discusses how big data has given rise to the sports analytics major at Samford University. He explains how students are leveraging data sets to help sports organizations drive team efficiencies by informing recruitment …
Businesses Building AI Applications Are Shifting to Open Infrastructure
In this special guest feature, Ami Badani, CMO of Cumulus Networks, suggests that as AI requires a lot of data to train algorithms in addition to immense compute power and storage to process larger workloads when running these applications, IT leaders are fed up with forced, expensive and inefficient infrastructure, …
AI Usage in Banking is Forcing the Conversation around the Ethical Use of Data
In this contributed article, Lisa Shields, Founder and Chief Executive Officer at FISPAN, dives into the ethical considerations banks must take into account when developing AI, and how they can do so responsibly. With the right business practices in place, banks can reap the benefits of AI while keeping customers …
Busting the 5 Common Myths Business Leaders Get Wrong About AI
In this special guest feature, Nikolas Kairinos, CEO and co-founder of Prospex and Fountech, takes a look at the 5 common myths business leaders get wrong about AI. Every organisation should consider the potential impact of this technology on its strategy, and how it can be utilised to solve problems …
Vaccines Are Being Created By AI: Here’s How
In this contributed article, tech blogger Caleb Danziger discusses how medical researchers have begun using AI in a bid to reduce long drug development times and prevent costly failures. Now, these efforts are beginning to produce real results. A team of medical researchers from Australia's Flinders University have designed an …
Healthcare APIs & Artificial Intelligence: What’s the Big Data Connection?
In this contributed article, freelance human Avery Phillips discusses how healthcare APIs, along with AI, is on the brink of revolutionizing healthcare. However, in order for breakthroughs such as predictive analysis to take place, the connection must be made to big data.
AI Hype: Why the Reality Often Falls Short of Expectations
n this special guest feature, AJ Abdallat, CEO of Beyond Limits, takes a look at the tech industry's hype cycle, in particular how it often falls short of expectations when related to artificial intelligence.
What Happens When the Spin Doctors Adopt Machine Learning? The Future of PR
In this special guest feature, Michael Burke, Director of Science & Technology at MSR Communications, takes a look at the state of the PR industry and its growing relationship with data science and machine learning technology. Machine learning may not replace the art of PR anytime soon, but there are …