Data is growing and is everywhere. As quoted by Daniel Keys Moran, “You can have data without information, but you cannot have information without data.” Some data we use, some we consume, and some we share. No matter the data is online or offline, it is used to create valuable insights and outcomes that provide […]
Future of Data Science according to Data Specialists Read More »
We thank Melissa Drew from IBM for taking part in the Data Science Interview Series and sharing several insights, including: I have been fortunate to collaborate with teams who have become more competitive in their industry, or built a foundation to support their 1st acquisition, or eliminated the needs for layoffs during a pandemic. –
Interview with Melissa Drew, Associate Partner, IBM Read More »
We thank Kajal Yadav from Initor Global Services for taking part in the Data Science Interview Series and sharing several insights, including: The key skills she uses everyday The challenges she faces and how she tackles them Advice on courses and for potential Data Scientists Nisha: How did you first get into data science? Kajal:
Interview with Kajal Yadav, Data Science Consultant, Initor Global Services Read More »
Some of us know very little about Artificial Intelligence, so we don’t know where AI is going. So let’s explore together. “Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits
How is Artificial Intelligence (AI) going to shape the future? Read More »
All data-driven processes are intrinsically binary. No matter what the application or use case might be, depending on data involves risks as well as potential gains. Reducing the former tends to burgeon the latter, as anyone intimately familiar with statistical Artificial Intelligence deployments of machine learning well knows. Many people focus on the advantages of
“De-Risking” Predictive Models with Indisputable Quality of Data Read More »
Does your medical practice send out surveys following visits? Do you or one of your staff members keep an eye on your rating on online reputation management websites like Google My Business or Healthgrades.com? While following these tasks may improve your online presence, it is not enough to understand the true review and feelings a
How Patient Sentiment Analysis Helps to Grow Your Practice Read More »
This week, Microsoft announced the acquisition of Nuance for $19.7 billion, in what is its second-largest acquisition after LinkedIn. Understandably, the news has resonated in the healthcare sector, with Nuance being the largest independent speech recognition servicing company. About 10,000 healthcare facilities worldwide are using Nuance’s software to capture conversations between patients and doctors and
Artificial intelligence (AI) and machine learning (ML) are evolving at a rapid pace. At the same time, more and more organizations are attempting to become data-driven, only to learn that AI/ML models are going to play a key role. As companies look to answer critical business questions in a more powerful way, these models provide
How to Make AI/ML Initiatives Count: Optimizing MLOps for Production Read More »
With all the media attention focused on contemporary Artificial Intelligence applications of computer vision, conversational AI, and knowledge graphs, it’s easy to lose sight of the basic data management mainstays cognitive computing has practically perfected. However, as mounting regulations for Personally Identifiable Information (PII), data privacy, and consumer rights indicate, the greater challenge is likely
We at AI Time are here to bring you an article purely based on Book recommendations. We have been blessed to have the opportunity to speak to some moving and inspirational people in the tech world, from data scientists to CEO of data companies. I will cover different books which will cater to different areas
3 Data Science Books Recommended by top Data Science Experts Read More »
