Artificial Intelligence

Picks on AI trends from Data Natives 2019
A sneak-peek into a few AI trends we picked for you from Data Natives 2019 – Europe’s coolest Data Science gathering. We are about to enter 2020, a new decade in which Artificial Intelligence is expected to dominate almost all aspects of our lives- the way we live, the way

Automated Knowledge in 2020: What to expect from AI & Machine Learning
The year 2019 will be remembered in the software world as the year when containerization, cloud native architectures, and Machine Learning broke out into the mainstream. As we approach the end of the decade, it’s time to look forward to the year 2020 and make some predictions about where these

Here is how IBM’s Data Scientists look at the Data-Driven Future
An aspiration to create a data-driven future has resulted in massive data lakes, where even the most experienced data scientists can drown in. Today, it’s all about what you do with that data that determines your success. And IBM has the recipe for this. Read on. “Without data, you simply can’t

This NY based AI Startup Wants Amy & Andrew to Take Care of Meeting Schedules. Would You Sign Up?
Here is a look at an AI startup that raised $44.3 million in venture capital funding and built a product that has a vision to not only scheduling a “time” for meetings but also take care of every little detail that comes along. Find out how intelligent these AI assistants

Five Ways to Make Better Data-Driven Decisions in 2020
Is your organization data-driven? Across industries, data has become a core component of most modern businesses. Here is how budgets and corporate planning reflect this trend. A McKinsey study found that 36% of companies say data has had an impact on industry-wide competition, while 32% report actively changing their long-term

Transforming Patient Health: The Power of Data Science in Pharmaceuticals
By leveraging Data Science, AI, and other digital technologies, the healthcare industry could build complementary health solutions that are personalized to the specific needs of patients. Here is how and why. The world population grows by more than 80 million per year, according to a 2017 report by the United Nations.

MLOps can help overcome risk in AI and ML projects
Aleksandar Kovačević, Sales Engineer at InterSystems, shares how companies use MLOps combined with a central multi-model database to get the most out of their machine learning initiatives. Artificial Intelligence (AI) and Machine Learning (ML) are hot topics at the moment. But when it comes to producing quantifiable results, there is

Do Not Underestimate Europe’s AI Innovators
Which are the AI startups that are innovating in Europe? Why is the world so skeptic about AI innovation in Europe? From where will the next wave of innovation come? Read on. Pundits say that Europe is losing the race for artificial intelligence (AI). Their perspective is suspiciously dire and

How will AI Change Healthcare? Robot-Assisted Surgery and Virtual Nurses are Just the Start
Technology is driving a major revolution in patient care. These days, wearable devices and healthcare applications on smartphones are putting the power into patients’ hands, allowing them to be more involved in their healthcare and in improving their overall health and wellness. At the same time, robots are now making

Why 96% of Enterprises Face AI Training Data Issues
A recent survey of over 225 enterprise Data Scientists, AI technologists and business stakeholders involved in active AI and machine learning (ML) projects, suggests that for most organizations, it’s still early days for AI technology. The AI market is projected to become a $190 billion industry by 2025 ( according