Data is becoming increasingly relevant in our everyday lives, and larger companies invest heavily to acquire, store, and manage that data. Right now, over 12% of Fortune 1000 businesses have invested more than $500 million into big data and analytics, according to a NewVantage Partners survey. But are they using it effectively? In the same survey, […]
Why Just Collecting More and More Data Is No Longer Productive
A decade back, when the big data trend began, the mantra was to collect more and more data — then glean insights from it to better understand consumer behavior, market trends, and demand. Even today, big data is key to better decision-making and operational excellence; however, two phenomena challenge the notion of “collect as much […]
How Zero-Party Data Can Build Consumer Trust
In 2020, Forrester Research came up with a phrase that’s since become a buzzword among many marketers: zero-party data. Essentially, zero-party data is information that individuals proactively and freely supply to companies, so it’s reliable and meaningful. By contrast, first-, second-, and third-party data are not proactively provided by the individual to the company that is requesting […]
Data and Analytics Will Create a More Transparent, Fairer Health Care System
Consider a picture of data-enabled health care. Health records, insurance claims, and telehealth appointments occur from your phone. Wellness apps track everything from stride length to arrhythmia. Digital glucose monitors keep tabs on blood sugar to help manage diabetes. And post-procedure monitoring checks in on your adherence to prescription drugs. Surely this is today’s picture, […]
AI and Machine Learning: Friend or Foe to Mankind?
While humans may be the most intellectual creations and sit atop the “food chain,” artificial intelligence (AI) is a branch of computer science that can simulate human intelligence in many cases. AI is implemented via machine learning (ML) and performs tasks traditionally executed by humans. Like it or not, AI and ML technologies are here to stay […]
How to Correct the Top Reporting Issues That Harm Your Business
Agility and flexibility are the keys to succeeding in today’s demanding economy. But to achieve both these goals, organizations must delve deep into their reporting capabilities to ensure they can generate accurate and timely information for key decision-makers. Perhaps the greatest deficiency in modern reporting is the inability to differentiate raw data from the kind […]
What Jeopardizes Your Private Data the Most?
Breached, leaked, or exposed private data is a cause of worry for any individual or organization. It opens the door for further criminal activity such as identity theft and can damage the company’s finances and reputation. To prevent the aftermath of compromised information, businesses have been investing more than ever in building their cybersecurity architecture to strengthen […]
Maximize the ROI of Your Enterprise Data Lake
With organizations embracing digitization in a big way, the generation of data has grown manifold. According to IDC, the growth of data will be huge across industries, from 16 zettabytes to 160 zettabytes. The data being talked about is useful for businesses to draw insights, formulate strategies, and understand trends and customer behavior, among others. […]
Complete Guide to Image Labeling for Machine Learning
Image labeling enables you to tag and identify specific details in an image. In computer vision, image labeling involves adding specific tags to raw data, including videos and images. Each tag represents a certain object class associated with this data. Supervised machine learning (ML) models utilize labels to learn to identify a certain object class within unclassified […]
Getting to AI Adoption at Scale
Everyone wants to increase the adoption of their AI programs, but there are several “chicken and egg” problems to overcome: How do we get the resources to build out the technical infrastructure required to use AI at scale, when we have not proven the value yet? How do we create a culture of data-driven decision-making […]