Interested in how professional services will be impacted by AI, both who is adopting it and what the results are? If you’re asking any of these questions, let us know so we can help guide you through this maze.
If you are a startup vendor looking to pitch to law firms, accountancy practices, or consultancies, then you need to head to Alternative AI for Professional Services this November 27th in London. As an event partner, we are offering you an exclusive discount for an exhibition package for startups priced at £249.
To register to become an exhibitor please contact Steve.Parrott@alternativeevents.co.uk and mention CognitionX. I will be chairing the Education Session with PWC and Thomson Reuters. Looking forward to seeing you there!
The site is unveiling a new smart reply feature in its messaging app, which gives users prompts with different phrases to use while they are chatting to keep the conversation flowing.
The feature is launching in English first in LinkedIn’s mobile app and on desktop. LinkedIn says that it plans to roll it out to more languages sometime in the future. And users can opt out of the smart reply feature in their settings. They are now using more AI tools like machine learning and more sophisticated natural language processing to be able to understand the gist of a conversation and how to help keep it going.
Currently, workers spend only 44% of their time on their primary duties, mainly because email, meetings, and non-essential tasks take up the bulk of their working week.
Cloud-based enterprise work management solutions provider Workfront released a report showing that US workers are largely optimistic about the impact automation will have in the workplace. They found that 82% of respondents expressed excitement at the chance “to learn new things as the workforce moves toward more automation
Persado announced a new feature of its AI-powered marketing software that’s designed to help companies create personalized marketing campaigns for individual customers based on their past engagements.
Called Persado One, the feature builds on the company’s existing software for marketing to consumers. Behavioral data from previous marketing campaigns is used to develop individual emotional profiles, and then generate personalized language for every message based on the profiles. The feature was announced as part of the AI Innovation Showcase at VB Summit 2017. “On average, brands using Persado have seen 49.5 percent more conversions, and the personalization capabilities of Persado One augment those results,” said Assaf Baciu, Persado’s cofounder and senior vice president of product.
Delphi, one of the world’s largest automotive suppliers, is acquiring Boston-based self-driving car startup NuTonomy for an upfront purchase price of $400 million as well as $50 million in earn-outs, the companies announced.
A lobbying group representing top AI companies including Amazon, Facebook, and Google issued a warning to lawmakers on Tuesday: hands off our algorithms.
The Information Technology Industry Council released “AI Principles,” spelling out how governments should approach AI, a technology that lets computers learn by themselves, and what the industry sees as its own responsibilities.Government should “use caution before adopting new laws, regulations or taxes that may
inadvertently or unnecessarily impede the responsible development and use of AI,” according to an executive summary of the principles.
Each year, train collisions kill around 6,500 of the Nordic region’s 600,000 reindeer – a staggering loss of life that also represents a cost of around €8.5 million in livestock. Following on from animal tracking company FindMy’s success with FindMySheep, SaveMyReindeer seeks to prevent accidents by repurposing their technology to provide an early warning system.
“FindMy’s IoT solutions are already proven in protecting sheep and cattle and SaveMyReindeer holds even more
potential to prevent needless incidents, while helping the nation’s railway users suffer fewer disruptions and improving train staff welfare,” says Kristin Skjerven, senior advisor with Norwegian mapping authority, Kartverket
Yesterday, Primer came out of stealth. The 35-person startup, which has raised $14.7M to date and recently closed a Series A round of funding, has developed a machine learning system that is able to quickly search through tens of millions of data sources–news articles, academic papers, social media posts, and so on–to surface the kinds of information that is essential to both intelligence analysts and corporate analysts alike. The system is also capable of delivering the most salient data points in natural language that approaches the level of what a human analyst might write.
Primer’s initial customers are In-Q-Tel, a nonprofit venture capital firm that invests in companies developing technologies useful to the CIA and other intelligence agencies; Walmart, and Singapore’s $100 billion sovereign wealth fund, GIC.
Sony’s new robotic assistant called the Xperia Hello is now ready for Japanese homes. The swiveling smart speaker we first saw as a prototype last year features big animated eyes and a 4.55 inch LCD in its belly. The Xperia robot runs Android and responds to voice, gestures, and facial expressions. It can also take photos, make Skype video calls, check the status of family members both inside and outside the house, provide reminders, and alert you of news, weather changes, and road traffic.
And because it’s for Japan, it’s also able to send and receive messages from the very popular messaging service Line.The Xperia Hello will ship on November 18th in Japan only, for now.
“From very early on, Lyft was a data-driven company and a machine learning company,” Gil Arditi, product lead for Lyft’s Machine Learning Platform told attendees at VB Summit 2017 in Berkeley, California.
From car routing and fraud protection (two critical functions for the ride-hailing service)
to self-driving cars, Arditi is working to extend machine learning across the company. That requires lowering the technical barrier to bring in a lot of staffers, from traditional software engineers to product managers, who are brand-new to AI. “I see [machine learning] as something in the primordial soup phase,” said Arditi, in a conversation with Chris Messina, a veteran of Google and Lyft rival Uber. “It’s similar to, let’s say, database in the early ’80s or late ’70s. You really had to be a world’s expert to get these things to work.”