Design Thinking: Future-proof Yourself from AI


It may not have been "The Matrix"[1], but the machines look like they are finally poised to take our jobs. Machines powered by artificial intelligence and machine learning process data faster, aren't hindered by stupid human biases, don't waste time with gossip on social media and don't demand raises or more days off. Figure 1: Is Artificial Intelligence Putting Humans Out of Work? While there is a high probability that machine learning and artificial intelligence will play an important role in whatever job you hold in the future, there is one way to "future-proof" your career…embrace the power of design thinking. I have written about design thinking before (see the blog "Can Design Thinking Unleash Organizational Innovation?"), but I want to use this blog to provide more specifics about what it is about design thinking that can help you to harness the power of machine learning…instead of machine learning (and The Matrix) harnessing you. Design thinking is defined as human-centric design that builds upon the deep understanding of our users (e.g., their tendencies, propensities, inclinations, behaviors) to generate ideas, build prototypes, share what you've made, embrace the art of failure (i.e., fail fast but learn faster) and eventually put your innovative solution out into the world.

Daily AI Roundup: The Coolest Things on Earth Today


Today's Daily AI Roundup covers the latest Artificial Intelligence announcements on AI capabilities, AI mobility products, Robotic Service, Technology from Bright Pattern, Microsoft Corp. Genesys, Grammarly Business, Bright Pattern, the most powerful cloud contact center with AI for innovative companies, announced the release of Bright Pattern Omnichannel Quality Management (Omni QM). Omni QM is embedded in the Bright Pattern Omnichannel platform, and allows quality management on all channels in a single interface. Microsoft Corp. and Genesys have expanded their partnership to provide enterprises with a new cloud service for contact centers that enables them to deliver superior interactions for customers. With the omnichannel customer experience solution Genesys Engage running on Microsoft Azure, enterprises have the security and scalability they need to manage the complexities involved with connecting every touchpoint throughout the customer journey. raises $12M to expand location data services

#artificialintelligence is among the companies seeking to expand in the high-growth industry of collecting location data from mobile consumers, a practice that has alarmed privacy advocates but continues to draw interest from investors, as this news shows. Spending on location analytics is expected to grow to $15 billion by 2023 from $8.35 billion in 2017, said in a study cited by Bloomberg. These businesses can use the information to identify where to rent or buy properties, or to measure the effect of advertising campaigns on consumer behavior such as store visits. In addition to helping businesses identify where to rent properties in areas of high foot traffic, real-time location data can help to boost the effectiveness of ad campaigns, according to a report last year by location data provider Factual. Location-based marketing, which Martin Sorrell, former CEO of ad-holding giant WPP, once described as the "holy grail" for advertising, reaches consumers when they're most ready to shop, dine out or visit an entertainment venue.

Iguazio pulls in $24m from investors, shows off storage-integrated parallelised, real-time AI/machine learning workflows – Blocks and Files


Workflow-integrated storage supplier Iguazio has received $24m in C-round funding and announced its Data Science Platform. This is deeply integrated into AI and machine learning processes, and accelerates them to real-time speeds through parallel access to multi-protocol views of a single storage silo using data container tech. The firm said digital payment platform provider Payoneer is using it for proactive fraud prevention with real-time machine learning and predictive analytics. Yaron Weiss, VP Corporate Security and Global IT Operations (CISO) at Payoneer, said of Iguazio's Data Science Platform: "We've tackled one of our most elusive challenges with real-time predictive models, making fraud attacks almost impossible on Payoneer." He said Payoneer had built a system which adapts to new threats and enables is to prevent fraud with minimum false positives.

A.I.-powered voice transcription app Otter raises $10M, including from new strategic investor NTT DOCOMO – TechCrunch

#artificialintelligence, an A.I.-powered transcription app and note-takers' best friend, has received a strategic investment from Japan's leading mobile operator and new Otter partner, NTT DOCOMO Inc. The two companies are teaming up to support Otter's expansion into the Japanese market where DOCOMO will be integrating Otter with its own A.I.-based translation service subsidiary, Mirai Translation, in order to provide accurate English transcripts which are then translated into Japanese. The investment was made by DOCOMO's wholly-owned subsidiary, NTT DOCOMO Ventures, Inc., but the size was undisclosed. However, the new round was $10 million in total, we're told. To date, Otter has raised $23 million in funding from NTT DOCOMO Ventures, Fusion Fund, GGV Capital, DFJ Dragon Fund, Duke University Innovation Fund, Harris Barton Asset Management, Slow Ventures, Horizons Ventures, and others.

12 thought leaders on LinkedIn who are creating original content to learn Artificial Intelligence and Machine Learning


I often use this quote from Isaac Newton in my teaching. AI is a vast and a complex subject. No matter how much you know - you realise that there is really a vast amount more to learn. So, my way of learning a subject as complex and dynamic as AI, is to share my insights. This helps me to refine my own thinking.

Controversial facial recognition firm Clearview AI facing legal claims after damning NYT report


Clearview AI, an artificial intelligence firm providing facial recognition technology to US law enforcement, may be overstating how effective its services are in catching terrorist suspects and preventing attacks, according to a report from BuzzFeed News. The company, which gained widespread recognition from a New York Times story published earlier this month, claims it was instrumental in identifying a New York suspect from video footage who had placed three rice cookers disguised as explosive devices around New York City last August, creating panic and setting off a citywide manhunt. BuzzFeed News found via a public records request that Clearview AI has been claiming in promotional material that law enforcement linked the suspect to an online profile in only five seconds using its database. But city police now say this is simply false. "The NYPD did not use Clearview technology to identify the suspect in the August 16th rice cooker incident," an NYPD spokesperson told BuzzFeed News.

Gentackle (@gentackle)


Are you sure you want to view these Tweets? Agreed, and appreciate the parallel drawn here. Definitely a huge challenge to regulate these emerging & booming sectors. Interesting reading this as well: «I have been proud to work with #Tesla on advancing cleaner, more #sustainable #transportation technologies. Impact of #Digitalization and #Automation, #futureofwork "This is your #pilot speaking.

Google CEO eyes major opportunity in healthcare, says will protect privacy - Reuters


DAVOS, Switzerland (Reuters) - Sundar Pichai, the CEO of Alphabet Inc and its Google subsidiary, said on Wednesday that healthcare offers the biggest potential over the next five to 10 years for using artificial intelligence to improve outcomes, and vowed that the technology giant will heed privacy concerns. U.S. lawmakers have raised questions about Google's access to the health records of tens of millions of Americans. Ascension, which operates 150 hospitals and more than 50 senior living facilities across the United States, is one of Google's biggest cloud computing customers in healthcare. "When we work with hospitals, the data belongs to the hospitals," Pichai told a conference panel at the World Economic Forum in Davos, Switzerland. "But look at the potential here. Cancer if often missed and the difference in outcome is profound. In lung cancer, for example, five experts agree this way and five agree the other way. We know we can use artificial intelligence to make it better," Pichai added.

Facebook has trained an AI to navigate without needing a map


The algorithm lets robots find the shortest route in unfamiliar environments, opening the door to robots that can work inside homes and offices. The news: A team at Facebook AI has created a reinforcement learning algorithm that lets a robot find its way in an unfamiliar environment without using a map. Using just a depth-sensing camera, GPS, and compass data, the algorithm gets a robot to its goal 99.9% of the time along a route that is very close to the shortest possible path, which means no wrong turns, no backtracking, and no exploration. This is a big improvement over previous best efforts. Why it matters: Mapless route-finding is essential for next-gen robots like autonomous delivery drones or robots that work inside homes and offices.