The day I left the comfort of my old job is that day I decided to jump. I was stuck in a dead-end job with a micromanager who kept blocking my attempts to move up. That fateful day, I sat with my resignation letter second guessing myself if I really should do this. I had been planning my exit for months, but it seemed the circumstances were never perfect. But I knew it was now or never.

25 tools to streamline YouTube SEO optimization - Search Engine Land


With video streaming services and social media platforms reporting large amounts of traffic, videos are slowly but surely moving front and center as the most popular form of online content. Plus, they are made more accessible by the widespread use of mobile devices and the growing average speed of Internet connectivity. Look no further than sites like Twitch and YouTube to understand how powerful videos can be at keeping people glued to their screens. As a matter of fact, according to YouTube, U.S. residents aged 18-34 watch more videos on mobile devices than they do on any TV broadcast or cable network. Bearing this in mind, performing video optimization has never been as important as it is today. To get more eyeballs looking at your videos, you must do your best to ensure that people can find your videos online and that they choose to watch your video over the vast pool of competition -- something that was covered in the YouTube SEO 101 post. Getting yourself noticed on YouTube can be quite a daunting challenge, but in this post, we've rounded up some of the best tools that can help you optimize your YouTube videos for SEO. Without further ado, let's get started! One of the most crucial parts of producing videos is getting everything ready even before the camera starts rolling.

Why Is AI And Machine Learning So Biased? The Answer Is Simple Economics


As AI and machine learning have infused themselves over the last half decade into nearly every corner of our lives, there has been a growing interest in how the biases of these models may be silently impacting society. Much of this focus has been on the issues of biased training data and a homogeneous workforce that lacks sufficient diversity of experience to recognize bias. However, lost in this conversation is the far bigger driving force: the lack of economic incentive to minimize bias in the technologies that increasingly power our lives. The digital world is an incredibly biased place. Geographically, linguistically, demographically, economically and culturally, the technological revolution has skewed heavily towards a small number of very economically privileged slices of society.

Twitter Releases its Official Marketing Calendar for 2019 - Search Engine Journal


Twitter has released a new, free resource to help guide marketers' social media strategies in 2019. The 2019 Twitter marketing calendar identifies highly anticipated events that will unfold throughout the year. In addition, Twitter estimates the number of Tweet impressions each of the events are expected to reach, based on internal data. Everything from Valentine's Day to Talk Like a Pirate Day is contained in the calendar. Here's an example of what it looks like: Marketers can use this information to capitalize on unique, once-a-year, opportunities to boost their reach.

Software Engineer, Machine Learning at Google


Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to tackle new problems across the full-stack as we continue to push technology forward.

Machine Learning: Build a neural network in 77 lines of code


How to build a neural network in 77 lines of Python code. From Google Translate to Netflix recommendations, neural networks are increasingly being used in our everyday lives. One day neural networks may operate self driving cars or even reach the level of artificial consciousness. As the machine learning revolution grows, demand for machine learning engineers grows with it. Machine learning is a lucrative field to develop your career.

Decision Intelligence (ML ) - Cassie Kozyrkov (Google) #TOA18


Let's strip away the jargon in machine learning and AI to take a look at what's easy, what's hard, how to spot opportunities, and what you need to know to avoid the two biggest threats in AI. Along the way, we'll meet an emerging discipline that focuses on using machine learning and AI to improve your business: decision intelligence engineering! Cassie Kozyrkov - Chief Decision Scientist, Google Tech Open Air is Europe's leading technology and innovation festival. Our mission is to connect, engage and inspire through transformative discourse, knowledge exchange and collaboration. Connect with us and stay up to date about our next events:

5 Places AI is Impacting Today's Digital Workplace


Artificial intelligence (AI) will have a major impact on the digital workplace in the very near future. IBM studies revealed that within the next three years about 120 million workers in the world's 10 largest economies may need to be retrained or reskilled because of AI and intelligent automation. IBM officials also found that 67 percent of CEOs believe AI will drive significant value in HR. But, how is AI impacting the digital workplace now? Gartner reported that AI is currently being applied to areas that include collaboration (fee required), content services, intranets, human capital management/recruiting, IoT in the digital workplace, help desk/IT service monitoring, knowledge management, meeting solutions, search and insight engines, and virtual employee assistants.

Jacques Ludik on LinkedIn: "#ai #innovation #machinelearning #digitaltransformation #artificialintelligence Cortex Logic"


Dr Jacques Ludik is a smart technology entrepreneur, AI expert, investor & ecosystem builder and currently Founder & President of Machine Intelligence Institute of Africa (MIIA), Founder & CEO of Cortex Logic, Founder of Bennit AI, Founder of SynerG, The Talent Index, & aiTRADE Systems, and investor in The Student Hub (ERAOnline). He holds a Ph.D. in Computer Science (AI) with many publications and has 25 years' experience in Machine / Artificial Intelligence (AI) & Data Science and its applications. MIIA is an innovative community & accelerator for Machine Intelligence & Data Science Research & Applications to help transform Africa, whereas Cortex Logic is an AI company that provides an AI Engine for Business, advances AI and builds end-to-end AI solutions for a range of industries. Bennit A.I. is an intelligent virtual production assistant/advisor for manufacturing. For businesses to thrive in the smart technology era, they need to be agile, innovative and adapt quickly to stay relevant, given the swift pace of change and disruption to business and society.

Stung by Cambridge Analytica debacle, Facebook backs election integrity, AI initiatives in Germany

The Japan Times

MUNICH, GERMANY - Facebook has launched German initiatives to defend election integrity and examine the ethics of artificial intelligence (AI), its operations chief said on Sunday, seeking to convince skeptics it is serious about privacy and democracy. The world's largest social network had a tough 2018 as it was buffeted by revelations that U.K. consultancy Cambridge Analytica had improperly acquired data on millions of its U.S. users to target election advertising. Founder Mark Zuckerberg has been grilled by lawmakers on the data lapses and, according to newspaper reports, U.S. regulators are discussing fining Facebook for violating a binding agreement to protect the privacy of its users. "We are not the same company that we were in 2016 or even a year ago," Chief Operating Officer Sheryl Sandberg told the DLD Munich technology conference. "We have a fundamentally different approach to how we run our company today."