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The article encourages security practitioners to embrace the potential of physical security data for revenue generation, differentiate video analytics from data analytics, and centralize data for comprehensive analysis and insights. By doing so, security professionals can drive impactful change and contribute to the success of their organizations.

If you’re new to the concept of Development Operations (DevOps) and/or if you’re thinking about implementing DevOps at your organization, it’s important to understand the fundamental concepts and foundation of what DevOps is built upon.

Deep learning may seem like a complex process (because it is) yet you may have used it or experienced the benefits of this type of machine learning technology already. Businesses of all sizes have been using it for applications like facial recognition and image classifications. So how can you tell if deep learning can help your small or enterprise-sized business? Deep learning is a type of machine learning that uses algorithms modeled after human neural networks to process massive amounts of data and make predictions.

Artificial intelligence (AI) and machine learning have not only entered the healthcare space, these technologies are as close to a patient’s side as a nurse or doctor. Let’s not suggest robots are going to learn bedside manner anytime soon (it will take time for people to get used to that). However, just as machine learning complements human skills in other industries, it has the potential to release healthcare workers from mountains of paperwork so they can spend more time empathizing, listening, and healing.

With machine learning analysis, companies can take large amounts of data and optimize their products along with their surrounding marketing and sales efforts. The caveat to this is that companies require two things to do this effectively; customer-generated data and data generated learning.

2020 is shaping up to be a landmark year as e-commerce spending surges to exceed brick and mortar sales. Consumers, either by choice or otherwise, are increasingly turning to online shopping, and as this spending rises, marketers and advertisers should consider the advantage that ultra-personalized marketing can provide.

You’ve heard of how business automation can ramp up workflow, save money, and boost efficiency for larger companies, but what about your small or enterprise-level business? Don’t worry — you’re covered.

If you’re interested in how business automation, machine learning (or both) can help your business, it’s important to understand the differences between these two emerging data science technologies.

Machine Learning Solutions can have a dramatic impact across industries, and marketing and advertising are no exception. Explore some of the benefits of machine learning in the marketing industry including customer personalization, reduced churn, and sales growth.

AI and machine learning can advance your goals, save money and create business intelligence in advertising, manufacturing, banking and more.

Define the 7 major ways in which Machine Learning (ML) can impact organizational culture and weigh the pros and cons of implementing AI in your business.

Identify if your data is ready for a machine learning model. A step-by-step guide for businesses to do data preparation and what to expect in the process.