As a freelance writer, I'm blessed with work-life autonomy. No one expects me to clock in at a certain time every morning, nor am I expected to be on the clock throughout the day. I write mostly what I want, largely when I want, and as long as I get the work done within a reasonable time frame, I get paid for it. And like most independent contractors, that leaves me at the mercy of my own self-motivation and ability to concentrate. I've long struggled with procrastination, though, and that's why I loved scheduled tasks.

With multiple AI platforms and bots competing against each other--there's Copilot, Gemini, ChatGPT, Claude, and Perplexity, to name just a few--we're seeing new updates and upgrades appear on a frequent basis. One of the newest additions OpenAI has pushed out to ChatGPT is called Canvas, and it's a little bit like an AI-powered Google Docs. OpenAI describes it as "a new way of working with ChatGPT to write and code," and it means you're essentially collaborating with the AI on a text document or on program code. You can already do this in the main chat interface of course, but with Canvas it's a bit more like having an AI coworker with you. Right now, you have to be a ChatGPT Enterprise, ChatGPT Pro, or ChatGPT Plus user (from 20 a month) to access the Canvas model.

To read the news, the sanctity of everything from college application essays to graduate school tests to medical licensing exams is imperiled by easy access to advanced artificial intelligence like ChatGPT, the AI chatbot that can produce remarkably clear, long-form answers to complex questions. Educators in particular worry about students turning to ChatGPT to help them complete assignments. One proposed solution is to roll back the clock to the 20th century, making students write exam essays using pen and paper, without the use of any Internet-connected electronic devices. The University of California, Los Angeles, where I teach, is considering making it an honor code violation to use ChatGPT for taking an exam or writing a paper. This semester, I am telling the students in my class at the UCLA School of Law that they are free to use ChatGPT in their writing assignments.

Artificial intelligence (AI) is becoming more common than you may realise. Many of society's leading technologies are driven by AI technology, as their automated functions streamline processes and help people do more with less time. Now, AI is integrating into commercial security systems and starting to revolutionise technology. Modern security systems with AI technology can help security teams better detect threats and provide faster responses to protect your business more effectively. Enterprises can leverage AI to enable security operators to analyse data more efficiently and streamline operations, allowing teams to adjust their focuses to more critical matters and better detect anomalies as they occur.

Artificial intelligence has its spread everywhere these days and has been impacting every walk of life in the past decade. These days when we are surrounded by tons of gadgets and devices, there is an increasing role that artificial intelligence has to play. People have feared artificial intelligence right since its inception. Movies have in the past portrayed AI as a demonic character. Many people have equated AI with a major threat to human existence. So where does all this fuss about AI lead to?

About a year ago, the idea began creeping into executive discussions and podcast interviews that "enterprise content management" just doesn't cut it for describing what is possible and happening with today's technologies and approaches. Indeed, just as old-school handles like "document management, "imaging" or "the paperless office" eventually gave way to newer concepts and designations, is it possible our old friend ECM is on the way out of industry favor? In January of this year, Gartner posted a blog post titled, "Death of ECM and the Birth of Content Services" from Research Director Michael Woodbridge. The assertion caused quite a stir… and for good reason. "I have been working with my team to kill off a market definition I have spent the most significant portion of my career serving," said Woodbridge in the post. "ECM is now dead (kaput, finite, an ex-market name), at least in how Gartner defines the market." Gartner is instead advocating for "Content Services" as a replacement construct that includes content, platforms and components. Forrester also chimed in to support the idea, splitting the market into two parts, Transactional Content Services and Business Content Services. But Woodbridge is quick to point out that the change in perspective is what's important, not the terminology. "It is only a definition; however, it articulates a different way of thinking about the problem that can be liberating for organizations paralyzed by the apparent need for consolidation." AIIM International stepped forward recently to propose the term "Intelligent Information Management" (IIM) as a suitable replacement. In his e-book "The Next Wave: Moving from ECM to Intelligent Information Management," John Mancini, Chief Evangelist at AIIM, puts it this way: "The role we expect content and information management to play in our organizations is clearly more than traditional data-centric ECM, and it is clearly more than Content Services.

Sebastian Raschka is the author of the bestselling book "Python Machine Learning." As a Ph.D. candidate at Michigan State University, he is developing new computational methods in the field of computational biology. Sebastian has many years of experience with coding in Python and has given several seminars on the practical applications of data science and machine learning. Sebastian loves to write and talk about data science, machine learning, and Python, and he is really motivated to help people developing data-driven solutions without necessarily requiring a machine learning background. Why did I bother writing this? Well, here is one of the most trivial yet life-changing insights and worldly wisdoms from my former professor that has become my mantra ever since: "If you have to do this task more than 3 times just write a script and automate it."

Sebastian Raschka is the author of the bestselling book "Python Machine Learning." As a Ph.D. candidate at Michigan State University, he is developing new computational methods in the field of computational biology. Sebastian has many years of experience with coding in Python and has given several seminars on the practical applications of data science and machine learning. Sebastian loves to write and talk about data science, machine learning, and Python, and he is really motivated to help people developing data-driven solutions without necessarily requiring a machine learning background. Why did I bother writing this? Well, here is one of the most trivial yet life-changing insights and worldly wisdoms from my former professor that has become my mantra ever since: "If you have to do this task more than 3 times just write a script and automate it."

Sometimes, a year in review can be just as exciting as the preview. Looking back I discovered that all of the key topics I listed in my last year Industry 4.0 review are as relevant today as they were then. Today, I want to invite you to join me as I look back at the Industry 4.0 year 2016 and take a look ahead to what will shape the world of Industry 4.0 in 2017. Note: I have deliberately left out tech trends such as RFID, augmented reality, gesture control, 3D printing, and miniaturization. According to recent studies, many of the big industrial enterprises are developing Industry 4.0 platforms.

Sebastian Raschka is the author of the bestselling book "Python Machine Learning." As a Ph.D. candidate at Michigan State University, he is developing new computational methods in the field of computational biology. Sebastian has many years of experience with coding in Python and has given several seminars on the practical applications of data science and machine learning. Sebastian loves to write and talk about data science, machine learning, and Python, and he is really motivated to help people developing data-driven solutions without necessarily requiring a machine learning background. Why did I bother writing this? Well, here is one of the most trivial yet life-changing insights and worldly wisdoms from my former professor that has become my mantra ever since: "If you have to do this task more than 3 times just write a script and automate it."