The most successful business organization understands the role and importance of HR to the organization, especially when it comes to acquiring top talent and keeping them. To remain competitive and at the top of their game, HR departments are now looking to leverage big data analysis. This way, they will be able to quickly identify the best performers…

Big data, a term that describes a huge volume of data that inundates businesses on a daily basis, has transformed many processes in numerous different industries. The way big data works in business is that it gets analyzed to reveal patterns that weren’t previously recognized and provide companies with more insight into a certain…

This article was written by Damian Mingle.

Google recently started promoting automated machine learning (what they call AutoML) – something that DataRobot customers have been doing for years. So what is driving Google to now embrace this transformative approach? Guest blogger Damian Mingle explains. …

Artificial intelligence, or AI, technology is continuously reshaping small business processes, techniques, and strategies. Businesses of all sizes are always looking to AI to accelerate repetitive tasks, minimize human errors, and increase accuracy. In fact, over 25% of businesses will use AI in their operational processes by the end of 2020. As a result, AI capability is expected to remain here to stay. To ensure that you are not left behind the competition, small business owners…

Many organizations have started adopting artificial intelligence (AI) and machine learning (ML) solutions, yet the C-level executives are neither data scientists nor AI experts.

AI is not a new concept. However, it is only in the last decade the technology has managed to make advancements worldwide. In the present day, we’re able to speak to our mobile devices and it responds, when we’re trying to book an Uber we receive multiple options with the price updates, or even when we’re…

Big data analytics in the healthcare industry today is evolving into a promising field for delivering real-time insights from very large data sets. Plus, it also helps improve outcomes while reducing costs.

The trending digitization is leveraging the potential of data analytics and business intelligence.

According to Industry experts, the AI health market is to…

We will talk about two chief technologies that deal with data namely Business Analytics and Data Science. The latter is specific to customer choice, geographical influences concerning the business, and the former deals with business issues that relate to profit, cost, etc. …

The video conferencing software is used for businesses all around the world but the requirement of it is at its peak during this corona outbreak. All of the businesses have to operate from their homes, and because of it, the use of video conferencing software has become a necessity these days. While there are plenty of applications available in the market but there are a few of them that give you the best features with a secure platform. …

Since data is now omnipresent, it has become critical for any business looking to not only remain competitive but also stay far ahead of the curve, to properly leverage the potential of this data. This assertion holds especially true for the pharmaceutical industry since there are a variety of factors to contend with and necessarily have much more at stake as compared to other sectors. And because of the need for tools and resources to help enhance various aspects of the Pharma business’…

The data science valley of despair is real. Time after time, leaders who’re well-versed in case studies and industry research extolling the returns of data-driven insights seek to innovate their business—and land in a hole of frustration and write-offs. It may be more accurate to call it a crater of despair given that Gartner predicts 85% of data science projects will fail (2018). What do the 15% of successful data science projects have in common? A…

Let me start off with a few common assumptions about the subject of this write up "Four Powerful People Skills For Data Scientists", and my take on each of them based on my experience and observations.

1. Common Assumption: People skills are just "fluffy" soft skills

Soft skills are often referred to as "the fluffy stuff". People skills in particular, top the list of fluffiness, in many people's…

"We used computer vision, deep learning algorithms and sensor fusion, much like you’d find in self-driving cars. We call it -Just Walk Out’ technology"

-Amazon

Much to the surprise of everyone in the retail industry, Amazon launched a new format of stores called "Amazon Go." The most interesting feature of these stores is that shoppers will not have to check out at a counter with a clerk or even with an automated kiosk. Shoppers simply have to swipe into the store with an app,…

Companies are ramping up their adopting of cloud-based Software-as-a-Service applications. Public cloud spending is expected to reach over $206 billion in 2019.…

Players in ecommerce, entertainment, finance, Internet and social media space drive and influence risk indicators for not just for themselves but for users of Internet and increasingly to larger society as side effects spread to social, political and economic scenarios. Any risks from above domains are dominant and may easily be extrapolated in domains too.

There are five risks that may influence society negatively and turn in to resistance force for adoption of digital…

Two former CAOs Make a Compelling Case for the CAO to Report to the CEO to build out an AI and Data Science Accountability COE.

Anthony Branda, MBA, Ph.D.,  Kevin Kramer, Ph.D.

• Company CEOs today are being bombarded by C-suite executives with urgent requests for significant funding for Data Science and anything that can be labeled Artificial Intelligence (AI):
• The CMO wants better segmentation, dynamic predictive scoring…

More organizations are adopting data-driven and technology-focused approaches to business and hence the need for analytics expertise continues to grow. As a result, career opportunities in analytics are around every corner. Due to this identifying analytics talent has become a priority for companies in nearly every industry, from healthcare, finance, and telecommunications to retail, energy, and sports.

In this blog, we will be talking about different career paths and option in the…

With the rise of IoT devices (Internet of Things), being able to analyze and visualize live streams of data is becoming more and more important. For example, you could have sensors like thermometers in machines or portable medical devices like pacemakers, continuously streaming data to a streaming service like Kafka. PixieDust makes it easier to work with live data inside Jupyter Notebooks by providing simple integration APIs to both the PixieApp…

(This post originally appeared here) 

In a…

Enterprises are learning fast about the relevance and use of AI and Cognitive Computing platforms. Before adopting AI and Cognitive Computing platforms, enterprises must focus on designing the right strategy for their business. A data-driven strategy is very important to derive the maximum benefit from the platform that will help to interpret data and provide…