Data-driven shopping experiences and higher customer expectations define the modern retail dynamics. As the industry becomes more competitive, retailers face the challenge of providing a meaningful and personalized buying experience.
As AI and machine learning techniques are evolving quickly, data scientists need to constantly inform themselves in order to keep up with the latest breakthroughs and trends. A great way to do so is attending conferences, which offer the opportunity to meet other industry professionals, exchange.
Artificial intelligence in the Enterprises is revolutionizing the way businesses operate. AI is being integrated into company operations with the goal of increasing efficiency and producing useful insights. It's often seen as a way for companies to have a competitive advantage in the market. This.
The gender gap in technology is not a recent phenomenon; it has been a significant and consistent challenge for companies in the industry. While the number of technical and data-related roles has increased in recent decades, the gender gap is still remaining constant.
A BIG thank you to Amarita Natt, Sr. Economist at Econ One Research for writing this post and being part of DSSe, an initiative focused on elevating women in Data.
Guest post by Mısra Turp, Business Owner at So you want to be a data scientist. Changing jobs is stressful. But it doesn’t have to be. By following some simple tips, you can make sure you are on the right track and will be happy in your new position.
It’s no news that the tech industry is far from being gender-balanced. According to research from recruiting firm Burtch Works, not even 1 out of 5 data professionals are women. What is even more worrying is that the industry is still predominantly represented by white males while women of color.
Female-focused communities are a great place for women working in AI to meet, inspire, learn from each other and eventually work towards a more diverse tech industry.
With the recent advancements in machine learning (ML), organizations can use algorithms to positively influence every stage of the business growth cycle - from customer acquisition, to activation, retention and referral.
Retail and eCommerce companies are embracing AI and machine learning (ML) technologies in order to gain valuable insights, automate marketing, forecast demand and much more.