Artificial intelligence thrives with data. The more data you have, the better your algorithms will be. However, just having a lot of data is not sufficient anymore. You also need high-quality data, or in the words of Peter Norvig, you need better data: > “We don’t have better algorithms,
Read MoreWith the number of cameras drastically increasing in our world, facial recognition is rapidly taking flight. Facial recognition is a biometric faceprint, where artificial intelligence [https://www.thedigitalspeaker.com/understanding-elements-of-ai/] maps an individual’s face mathematically. This faceprint is then stored in data. Later, the stored data can be compared
Read MoreThe organisation of tomorrow [https://www.thedigitalspeaker.com/the-organisation-of-tomorrow/] will be built around data, and it will require artificial intelligence to make sense of all that data. Artificial intelligence [https://www.thedigitalspeaker.com/understanding-elements-of-ai/] is a broad discipline with the objective to develop intelligent machines. AI consists of several subfields:
Read MoreThe organisation of tomorrow [https://www.thedigitalspeaker.com/how-build-organisation-of-tomorrow/] will be built around data. This will require smart algorithms to make sense of all that data. AI will enable organisations to leverage data and embed smartness [https://datafloq.com/read/why-the-future-will-never-be-slow-again/5010] in every process and customer touchpoint. When you
Read MoreArtificial Intelligence is rapidly becoming more advanced. One of the organisations working on AI is OpenAI; the not-for-profit artificial intelligence research organisation co-founded by Elon Musk. Last week, they produced a paper [https://blog.openai.com/better-language-models/] demonstrating the progress they have made on predictive text software. The AI that
Read MoreArtificial Intelligence is here to stay [https://www.thedigitalspeaker.com/emerging-technologies-future-will-never-be-slow-again/]. The development of AI is speeding up on a daily basis. Only recently, Google’s DeepMind created the AI AlphaStar [https://deepmind.com/blog/alphastar-mastering-real-time-strategy-game-starcraft-ii/] that secured a decisive victory against two grandmaster players of the game of StarCraft
Read MoreLast year, I called 2018 the Year of Transition [https://datafloq.com/read/the-top-7-technology-trends-for-2018/4085] because technological developments are accelerating, but they had not yet reached the state of full maturity. Indeed, artificial intelligence did leap forward, with Uber [https://www.technologyreview.com/s/612470/uber-has-cracked-two-classic-80s-video-games-by-giving-an-ai-algorithm-a-new-type-of-memory/?utm_source=datafloq&
Read MoreDescriptive, diagnostic, predictive and prescriptive analytics can each provide insights into the business and as such improve and optimise your performance and increase your competitive advantage. Descriptive and diagnostic analytics enable organisations to learn, sense, filter, shape and calibrate opportunities by providing insights as to what has happened in their
Read MoreUsing AI to automate processes means substantial efficiency improvements in nearly any business function. Now, that same solution is being deployed to create better, faster and smarter AI technologies. Think of IBM Watson Studio as an AI that trains other AIs [https://www.ibm.com/blogs/watson/2018/03/deep-learning-service-ibm-makes-advanced-ai-accessible-users-everywhere?
Read MoreIf you take care of your customers, your customers will take care of your shareholders. It is that simple. To create value for your shareholders, you should focus on your customers. Offering your most important stakeholder what they need, when they need it. Unfortunately, many organisations fail to recognise the
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