The Startup of the Week for this week is London-based insurtech startup Tractable! Using AI to help accelerate accident and disaster recovery. Tractable achieves this by performing visual damage appraisals with computer vision, essentially utilising AI technologies to analyse images of the damage done during an accident, and predicting the repair costs for this. This helps to speed up the process of insurance payouts significantly, improving efficiency throughout the insurance space overall. Initially going through Entrepreneur First, Tractable was founded in 2014 by Alexandre Dalyac, Adrien Cohen and Razvan Ranca.

As more online brands look for ways to move beyond third-party cookies as a way of gaining more direct insights about their users and customers, a startup that has developed a platform to help them has raised a big round of funding. Bluecore, a marketing technology firm that uses data gained from direct marketing like email, social media, site activity and combines that with machine learning to make better predictions about who might want to buy what among its customers, is today announcing that it has raised $50 million. The funding will be used to build the next generation of the Bluecore platform, expected later this year, which will tap into aggregated engagement data (but not actual browsing individuals) from "hundreds" of brands, which customers can combine with their own first-party data -- based on consent-based, first-party customer IDs -- to develop better targeting insights. "There are a lot of systems that focus on customer data and transactional data but no system that focuses on the product and product catalogue, which we think is the key asset," said Fayez Mohamood, the co-founder and CEO, in an interview. He says that the company manages over 200 million products and SKUs, second only to Amazon's and bigger than Walmart's, that companies can matches with consumer identities (from email and other direct channels).

While the knowledge and skills of your hires can drive individual project success, good processes drive the success of a portfolio of projects and the team overall. When creating processes, work with your team and focus on taking small steps and quick iteration of ideas, not major breakthroughs. You'll also need to select the best tech stack to support your objectives. Technology should not be a substitute for good processes and the right team. Instead, as you put processes in place, look for technology to help drive efficiency.

Cybersecurity is increasingly important as more and more attacks happen all the time, leaving organizations scrambling for solutions. How can you keep your company safe from attacks and the resulting financial losses? I discussed the topic with Alex Manea, chief security and privacy officer at Georgian Partners, a North American venture capital firm that invests in growth-stage companies using artificial intelligence and machine learning technologies to solve business problems. SEE: How to become a cybersecurity pro: A cheat sheet (free PDF) (TechRepublic) Scott Matteson: What mistakes are companies making in cybersecurity? Alex Manea: One of the worst things that you can do is to try and stop every single attack, but that's a fairly typical mistake.

I recently spoke on a panel at the TWIML AI Platforms Conference discussing how to operationalize responsible AI with Rachel Thomas (Center for Applied Data Ethics), Guillaume Saint-Jacques (LinkedIn) and Khari Johnson (VentureBeat). It was a great discussion and we touched several different topics. We started our conversation by discussing the steps that every organization should take to lay the groundwork for the responsible development of machine learning and AI systems. At Georgian Partners, we believe companies should begin by creating a clear vision where trust is your guiding light. This means developing a business model that seeks to optimize both the value of your offering and the comfort level of customers or end-users of your products.

In today's increasingly hyperconnected world, it's more important than ever to protect our privacy online. But the more information companies collect about us, the more difficult it becomes to protect, even if it's properly anonymized. To address this critical issue, we're excited to announce that we've worked with Google to make our differential privacy library publicly available through TensorFlow, the industry's leading open-source machine learning framework. So what is differential privacy, and why are we teaming up with the world's top technology firm to make it freely available? When we sign up for online services, they assure us that all of our information is "completely anonymous."

This post was originally published on chatbotsmagazine.com. So you've just set up your chatbot, and it's working well -- congrats! Now for the bad news: if you don't set up a feedback loop right away, your chatbot could already be falling short of its potential. But what does a great chatbot feedback loop look like, and how can you harness it to deliver more value to users? In my work with companies adopting chatbots, feedback loops are consistently one of the most overlooked components of the system.

The Principles of Applied Artificial Intelligence from Georgian Partners Hoy traemos a este espacio esta slideshare de Georgian Partners titulada The Principles of Applied Artificial Intelligence Georgian Partners is a thesis-driven growth equity firm investing in SaaS-based business software companies. Founded by successful entrepreneurs and technology executives, Georgian Partners leverages our global software expertise to be able to directly impact the success of companies. Que nos presentan así: Artificial intelligence (AI) is perhaps the most important and disruptive change of our lifetimes and is rapidly moving from the laboratory and into business and consumer applications. The result is a fundamental shift in how software is built, and what it's capable of doing. To accelerate the use of AI in the software companies we invest in, Georgian Partners has developed a pragmatic framework to assist the adoption of machine learning and other building blocks of AI: The Principles of Applied AI (leer más...) Fuente: [Georgian Partners ]

Artificial intelligence (AI) is rapidly moving from the laboratory and into business and consumer applications, resulting in a fundamental shift in how software is built and what it's capable of doing. And while we're still a ways off from the artificial general intelligence portrayed in the movies, artificial narrow intelligence is a reality that's already powering some of the most successful technology businesses today, including Amazon, Facebook, Google and Apple. In the "10 Principles of Applied Artificial Intelligence" we provide an overview of the principles that will help you apply artificial intelligence to your business. Stay tuned for our forthcoming white paper that will dive into each of these principles in much greater detail.

WIRE)--Glooko, the leader in diabetes data management, today announced $35 million in new funding to accelerate growth, expand international presence, and deepen expertise in data analytics. This round was led by Georgian Partners, a Toronto-based investor focused on applied analytics and machine learning. Other new investors include Insulet Corporation and Mayo Clinic who join existing investors Canaan Partners, Social Capital, Medtronic and Samsung NEXT in the round. Glooko will use the funds to accelerate growth by expanding its sales, marketing and development teams. The company will also increase commercialization efforts in France, Germany, the U.K., Asia and the Middle East, and further development efforts in data analytics and artificial intelligence to provide personalized insights that drive meaningful behavior change.