As I sit here at my computer, surrounded by books, I can't help but feel a sense of contrast between my "dusty" perspective and the ever-evolving digital landscape that surrounds us. As a 39-year-old father of four children, I've seen the world change in ways I never thought possible. I've watched as technology has become increasingly intertwined with every aspect of our lives. But as I watch my kids grow up in this digital age, I can't help but express my concerns about the negative impact that technology has had on society. I remember a simpler time, when people weren't constantly glued to their screens and when human interaction was valued above all else.

At a rapid pace, many machine learning techniques have moved from proof of concepts to powering crucial pieces of technology that people rely on daily. In attempts to capture this newly unlocked value, many teams have found themselves caught up in the fervor of productionizing machine learning in their product without the right tools to do so successfully. The truth is, we are in the early innings of defining what the right tooling suite will look like for building, deploying, and iterating on machine learning models. In this piece we will talk about the only 3 ML tools you need to make your team successful in applying machine learning in your product. Before we jump into our ML stack recommendations, let's turn our attention quickly to how the tooling that the software engineering industry has settled on.

In a world where business success depends largely on technological progress, organizations must keep up with the latest technology trends to stay ahead of the competition. This article discusses the role of two pivotal technologies that have been rapidly changing the way businesses are conducted today and will have an even greater influence in the future: Artificial Intelligence (AI) and the Internet of Things (IoT). Artificial Intelligence is a disruptive technology like no other. The technology and applications are evolving at a rapid pace, as more and more companies take advantage of this exciting new field. The AI market is growing rapidly, with revenues expected to exceed $46 billion by 2025.

With artificial intelligence (AI) evolving at a rapid pace, it's important to stay abreast of what's happening in this tech-driven sphere. And with new developments heading your way in 2021, we've got you covered: Here are the top five AI trends to look out for in the new year. AI has been a buzzword in many industries for quite some time. With more familiarity surrounding this term, more businesses are becoming aware of the benefits of the use of this technology. From those working in robotics to data analysts at media intelligence agencies, AI is here to make the lives of employees a whole lot easier, and the technologies only continue to expand. Thus, in order to keep up with how these developments can be used, it's important to stay up to date with the latest trends.

In a recent survey, "2021 Thriving in an AI World," KPMG found that across every industry--manufacturing to technology to retail--the adoption of artificial intelligence (AI) is increasing year over year. Part of the reason is digital transformation is moving faster, which helps companies start to move exponentially faster. But, as Cliff Justice, US leader for enterprise innovation at KPMG posits, "Covid-19 has accelerated the pace of digital in many ways, across many types of technologies." Justice continues, "This is where we are starting to experience such a rapid pace of exponential change that it's very difficult for most people to understand the progress." But understand it they must because "artificial intelligence is evolving at a very rapid pace." Justice challenges us to think about AI in a different way, "more like a relationship with technology, as opposed to a tool that we program," because he says, "AI is something that evolves and learns and develops the more it gets exposed to humans." If your business is a laggard in AI adoption, Justice has some cautious encouragement, "[the] AI-centric world is going to accelerate everything digital has to offer." Business Lab is hosted by Laurel Ruma, editorial director of Insights, the custom publishing division of MIT Technology Review.

Clove Dental offers a comprehensive set of oral healthcare services, leverages best-in-class equipment, and utilizes the latest pain-management technology to provide affordable healthcare of the highest quality. To establish itself as the industry leader, Clove adheres to the highest standards in clinic safety and hygiene, customer service, and recruiting, with a constant focus on ethics and transparency. Vikas Sood is the Chief Information Officer at Clove Dental. In an interaction with The Tech Pod, Vikas speaks about the future of AI in healthcare. Tell us something about yourself and what does your company do?

When it comes to adoption of artificial intelligence, the US Federal Government is moving at a rapid pace. On February 11, 2019, President Trump signed Executive Order 13859 announcing the American AI Initiative, the United States' national strategy on artificial intelligence. As part of this strategy the US took into consideration principles on Artificial Intelligence published by the Organization for Economic Cooperation and Development (OECD). The AI Today podcast interviewed Adam Murray, International Relations Officer from the US Department of State to discuss these principles in more detail and why it's important to have AI principles around responsible & trustworthy AI discussed and adopted on an international level. Adam Murray is a foreign relations officer and a US diplomat, and has been working with the Department of State for over 13 years.

The number of moving parts in even the most basic of supply chains means that supply chain managers can use all the help they can get. AI is an emergent tool that could be of great use to supply chain managers. So where is AI as a tool for supply chain management, and which trends are most shaping AI's role within the industry? These industry insiders shared their answers to these questions. "A big tend will be orchestration systems that ensure humans, robots, and AI are working together to maximize their inherent strengths. A lot of companies incorporate robots into a single process step within their organization. This limits the machines potential to interact with other parts of the operation (and more importantly learn from those interactions), underutilizes the capabilities of other resources, and limits the operations ability to mix and match process steps based when needs change. It essentially creates a silo effect which decreases efficiency and productivity – the exact opposite of what AI is brought in to do." "We're particularly excited about how robots are getting better and better. They do a lot of heavy lifting in warehouses; not intelligent enough to take the jobs of human workers, but at least make human jobs better and easier than before."

The capabilities of current AI systems go far beyond anything available only a few years ago, and levels of disruption are likely to skyrocket. How will AI transform jobs? And how will society respond? There have been a lot of studies on the subject recently. Let's unpack some of the findings.

As technology advances, the amount of data that is being created is growing at a rapid pace. Where throughout the 1970s, '80s and '90s most data that was being collected was structured and placed in databases, emerging technologies like the internet, mobile phones and smart devices, are generating more data than ever before. In 2013, IBM wrote that each day 2.5 quintillion bytes are created, and it is estimated that 40 Zettabytes of data will have been created by 2020. But just as the Volume of Data is rapidly increasing, so is the Variety of Data. Everything from emails, tweets, images, video and music, are now digital and being stored not just on local devices but more and more in the Cloud.