If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Police officers have raised concerns about using "biased" artificial-intelligence tools, a report commissioned by one of the UK government's advisory bodies reveals. The study warns such software may "amplify" prejudices, meaning some groups could become more likely to be stopped in the street and searched. It says officers also worry they could become over-reliant on automation. And it says clearer guidelines are needed for facial recognition's use. "The police are concerned that the lack of clear guidance could lead to uncertainty over acceptable uses of this technology," the Royal United Services Institute (Rusi)'s Alexander Babuta told BBC News.
Artificial intelligence (AI) is here. The technology is already making an impact across many industries. According to IDC, worldwide spending on AI systems is forecast to reach $35.8 billion in 2019 -- a 44% increase over 2018. For any company that hasn't started its AI journey -- it's time to get started. That's because AI is shaking up the customer experience, bringing users and brands closer together than ever before.
My recommendation is to get video examples from throughout the week, with different lighting, different'scenarios' on the street such as cars, bins, animals, ghosts, whatever else is common. In my case, I need video with and without those bins. Now comes the fun part. Go ahead and download this nifty tool from Machine Box called Objectbox. Follow the instructions to get yourself setup with the annotation tool in Objectbox, and place your videos into the boxdata/files directory.
Artificial intelligence marketing (AI) is looking to change the game of leveraging customer data, with new found concepts of machine learning to anticipate the next move to enhance a customer's journey, writes Ipsit Roy, a freelance content writer. The last few years that went by a bear a fine witness to the rise of innovation in marketing. With newer tools and trends popping up every minute, and a majority of them actually living up to the hype, marketing teams can dream about bringing the sun and the moon closer. In their Artificial Intelligence (AI) survey, account-based marketing firm, Demandbase joined hands with Wakefield Research to harp on the potential that AI carries in affecting sales and marketing in leaps and bounds. The research depicted how there remains a strong divergence between the urge and the confidence of innovators to help forward-thinking organizations adapt to AI for first-grade marketing programs.
With all the buzz around big data, artificial intelligence, and machine learning (ML), enterprises are now becoming curious about the applications and benefits of machine learning in business. A lot of people have probably heard of ML, but do not really know what exactly it is, what business-related problems it can solve, or the value it can add to their business. ML is a data analysis process which leverages ML algorithms to iteratively learn from the existing data and help computers find hidden insights without being programmed for. With Google, Amazon, and Microsoft Azure launching their Cloud Machine learning platforms, we have seen artificial intelligence and ML gaining prominence in the recent years. Surprisingly, we all have witnessed ML without actually knowing it.
Retail Industry is looking at Artificial intelligence (AI) and machine learning (ML) as a solution to take their organization to the next level of productivity and customer experience. To explain this better, let us look at it this way – Retail companies have access to a massive amount of data about their customers and their shopping preferences. It is difficult for the companies to drill down into these huge mines of useful data and analyze it properly and derive actionable insights in real time. Therefore, massive amounts of this useful information could go waste which would otherwise have helped in increasing sales conversion rates or enhancing the customer satisfaction. With the help of AI and ML, the huge amount of big data could be used in creating web shops that take customer information and turn it into targeted shopping experiences or online chatbots that can easily answer questions and assist customers, or in-store intelligence to make the customer experience even more interactive.
Do you know why your CMO needs artificial intelligence NOW? Because: CMOs must show measurable financial results for the budget they invested! Wonder how AI relates to financial results? I'm not surprised since the answer may not be obvious. With an ever-increasing number of smart devices, apps and methods, consumers have more and more ways to get information and create content digitally. In the process, they create an explosion of data for marketers to track and analyze.
Artificial Intelligence (AI) and programmatic advertising can prove to be great tools for FMCG brands in garnering better customer engagement. With the use of programmatic data, brands can generate personalised content for consumers. Unlike before, with programmatic data one can also generate real-time data with respect to a consumer's walks into the store. AI will also instantly allow the brand to understand market trends which lead to better customer personalization. We at exchange4media got in touch with marketing leaders and brands to get their perspective on how the FMCG sector can leverage from AI and programmatic advertising.
As made clear by our principles for Trust and Transparency, IBM has always understood that we need to lead by demonstrating responsible adoption and use of new technologies that we develop and bring to the world. That is why we are a big supporter of the EU's work to develop Ethics Guidelines for Trustworthy AI, now nearing completion. The guidelines will cement Europe's position as a global pioneer for artificial intelligence that is developed and deployed responsibly and ethically. I have the privilege of being a member of the High Level Expert Group on AI selected by the European Commission and mandated to develop ethics, policy and investment recommendations for AI. Work is ongoing in all three areas.
If so, the newest collaboration involving Google Lens, Google's AI-powered search and computer vision tool, might be just what the doctor ordered. Mountain View tech startup Innit and Mars Food have jointly announced that Lens will now reveal "dynamic content," like recipes, ingredient lists, and nutrition advice from Innit's connected platform, beginning with Uncle Ben's foods. Mars notes that this integration makes Uncle Ben's the first food brand to supply Lens users with information beyond basic web results. Through Lens, you'll get meal recommendations based on your tastes, dietary preferences, and allergies, along with a personalized score for products like Uncle Ben's Ready Rice, Flavored Grains, Flavor Infusions, and beans. Additionally, you'll see meals that can be built around the product, accompanied by step-by-step cooking instructions and guided videos.