The AI Times Monthly Newspaper

Curated Monthly News about Artificial Intelligence and Machine Learning
Artificial Intelligence In Military Market Trends, Growth Forecast 2019-2028

Artificial Intelligence In Military Market Trends, Growth Forecast 2019-2028

Artificial intelligence is an area of computer science that uses digital computers or robots that have ability to perform tasks by using human intelligence which include learning or acquisition of information, reasoning, and self-correction. Artificial systems are commonly used in expert systems that make complex decisions, speech recognition, evaluate investment opportunities etc.

Increasing adoption of artificial intelligence in consumer electronics and healthcare sector is a primary factor driving demand for this technology in the global market. This demand is expected to increase exponentially during the forecast period owing to increasing application of artificial intelligence in various other sectors. Features such as high computing power and accuracy to enhance productivity and improve customer satisfaction are also some of the factors that are expected to drive demand in the global market.
Rising adoption of artificial intelligence technology in media and advertising to determine the influencing factors for consumer buying behavior is expected to boost demand during the forecast period.

Challenges such as high production and deployment costs are hampering demand for artificial intelligence technology in the market globally. Lack of skilled labor to manage, monitor, and operate systems is restricting growth of the global artificial intelligence market. Majority of companies operating in the market are facing challenge related to accumulating funds for early stage R&D of prototypes and their underlying technologies.

The global artificial intelligence market is segmented on the basis of solution, technology, industry verticals, and region. On the basis of region, the global artificial intelligence market is segmented into North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.

North America is the leading regional market and is expected to hold its dominance over the forecast period owing to increasing adoption of artificial intelligence technology in various sectors, cloud based services, and government funding. Europe is expected to witness remarkable growth during the forecast period. Among other regions, the market in Asia Pacific is expected to register rapid and high revenue growth during the forecast period.

Key players in the global artificial intelligence market are Atomwise Inc., Google Inc., IBM Corp., Microsoft Corporation, Rocket Fuel Inc., Qlik Technologies Inc., MicroStrategy, Inc., Brighterion, Inc., Numenta Inc., Sentient Technologies, and Inbenta Technologies, Inc.




Today we will highlight signal processing applications using deep learning techniques. Deep Learning developed and evolved for image processing and computer vision applications, but it is now increasingly and successfully used on signal and time series data.

Deep learning for signal data typically requires preprocessing, transformation, and feature extraction steps that image processing applications often do not. While large high-quality image datasets can be created with relatively low-cost cameras, signal sets are harder to obtain and will usually suffer from large variability caused by wideband noise, interference, non-linear trends, jitter, phase distortion, and missing samples.

London Neurons Summer Party – Tuesday 28th May


Please come and join us for our 4th Anniversary Celebrations on Tuesday 28th May from 6:30pm

Join this event and meet local professionals working in AI, Machine Learning and Data Science. We also get representation from VCs and Startups joining us too. This will be an opportunity to talk with people across a diverse range of industries who are apply machine learning to solve their specific business problems. Our meetings are a mix of social networking and knowledge sharing with experienced practitioners  talking about their application of AI and Machine Learning. A great opportunity to meet new people and build your network of people working in this amazing industry. Bring an open mind, a willingness to meet and talk with new people and enjoy good vibes.

For more details and to reserve your ticket visit :


Link to Full Article: Read Here

The Workforce Impact of AI in Government

Use of intelligent automation can lead to a surge in employee development but leadership must establish and reinforce the expectation that automation will augment the workforce. Augmenting the workforce will enable employees to spend more time on strategic initiatives instead of mundane tasks. IA can allow for more opportunities for employees to deliver tangible value.

However, AI technology can bring both optimism and anxiety to the workplace. The process of reducing, or even eliminating, drudge work such as inputting and processing is one reason why managers are enthusiastic about new applications based on artificial intelligence.

With this, staff resources can be freed up to do other, more important work, with people having time to focus on creative projects and deal directly with clients and customers. However, this new labor and cost saving technology can make everyone be on their toes – worrying that it will wipe out categories of employment. Cognitive technologies are increasingly capable of carrying out tasks once reserved for knowledge workers.

Technology, from farm equipment to factory robotics, has always displaced low-skilled workers but it’s not until recently that it’s threatened white-collar professionals. For the first time, knowledge workers whose jobs once seemed secure are feeling endangered.

Conversations with government executives suggest that most lack a clear vision of how AI applications might affect their staff and missions. The US Bureau of Labor Statistics optimistically predicts the government workforces will see almost no job losses between now and 2024. On the other hand, a recent study by Deloitte-UL and Oxford University suggests that up to 18% of UK public-sector jobs could be automated by 2030.

See the full report here.

The key to planning ahead for IA is to understand how much time cognitive technologies could save. Based on Deloitte research, a new method of studying AI-based technology’s effects on government workforces indicated that cognitive technologies could free up large numbers of labor hours by automating certain tasks and allowing managers to shift employees’ tasks to requiring human judgment.

Intelligent automation could save hundreds of millions of staff hours and billions of dollars annually. It could free up to 30% of the government workforce’s time within five to seven years and minimal investment in AI would result in savings of just 2% to 4% of total labor time.

Most existing quantitative models rely on occupations as the unit of analysis. This begins by tallying workers by occupation and predicting which jobs will be replaced by technology.

Technology often substitutes for specific tasks, while workers who previously performed them shift to jobs complementary to the new technology. Recent history should that this has also been true for government work. Deloitte has developed a new methodology for measuring the amount of time government workers spend on the tasks that fill up their work days.

Deloitte estimates that the two workforces collectively work 4.3 billion (federal) and 108 million (state government) hours a year. Deloitte grouped the tasks they perform into “generalized work activities” using the US department of Labor’s activity framework. For both federal and state workers, by far the most time-consuming activity is documenting and recording information – a task capturing 10% of both federal and state government work hours.

Learn the latest information on Process Automation in Government at our event held in Washington D.C. on May 29th.  Access the agenda here.



Link to Full Article: Read Here

How AI Is Changing Customer Service

How AI Is Changing Customer Service

According to “MyCustomer” reports, 80% of all UK businesses will have a chatbot solution in place by the end of 2020.

The rise of artificial intelligence and the accessibility of disruptive technology in the current marketplace means that any company can take their business to the next level with an AI chatbot.

Unfortunately, brands from most industries are still facing a host of challenges when it comes to getting the full value out of intelligent solutions.

Here, we’re going to cover everything you need to know about the market for modern chatbot tools, and how they can help you to transform customer service.


From Finance to Technology – TD Bank’s IA Strategy

TD Bank takes rank as Canada’s second largest bank and is the tenth-largest bank in North America. TD Bank focuses on retail banking, employs over 26,000 people and provides its services to about 25 million customers.

Over the last five years, TD Bank has focused on transforming their businesses technologically – meaning that the bank has transformed its company from finance to technology. It all started with an idea that moving to a Big Data environment could bring about a 50-fold reduction in cost. By moving to this new infrastructure of Big Data, TD Bank effectively democratized access to the information it gathers and stores as part of its business. These factors include customer service interaction, transactions and data-driven insights.

In order to implement this infrastructure, the TD Bank team asked these questions:

1) What is the data?

2) Who can access the data?

3) Under what circumstances can the access it?

Once these questions were answered, they knew that the format of their new infrastructure would be suitable and always have the ability to be found and accessed. The next step in implementing Big Data was set out what problems the technology needed to be used for. They wanted to go for “quick wins,” where the objective would be how quickly Big Data could generate savings through driving efficiencies that are greater than the infrastructure costs to deploy.

The development of the technological tools enabled the bank to act on the wealth of data it holds on its customers to be able to offer them tailor-made services. For example, if the bank knows that a customer is in the process of a major life event, such as buying a house or having a child, this data informs them with the products and services they might be offered. These tools also made it possible for customers to use digital services such as an app, which allows them to track their accounts on a mobile device.

Layer 6 AI

The capability of this transformation was made possible by TD’s acquisition of an artificial intelligence startup in Toronto, called Layer 6 AI. Layer 6 was launched in late 2016 and uses AI in its platforms to analyze a variety of data forms to learn and anticipate a customer’s specific needs. TD Bank is Layer 6’s sole client and customer. Machine learning is increasingly being adopted throughout financial services in Canada and TD Bank has paved the way. Royal Bank of Canada has not only invested in AI research but has also set up labs in Toronto, Edmonton and Montreal. Meanwhile, federal and Ontario governments have doubled down on AI throughout the country’s various research institutes – which both TD Bank and Royal Bank of Canada are partnered with.

TD Bank’s AI Commitment

Prior to the Layer 6 AI startup, TD Bank has shown commitment to using automation to improve their customer’s experience through its Twitter chatbot and their adoption of Amazon Alexa devices to offer voice banking.

Presently, TD Bank has committed to reversing the trend of Canadian developers to flock elsewhere, like Silicon Valley. TD Bank joined an effort, sponsored by the Canadian innovation center Communitech, to bring as many developers back to Canada as they can. Canadians recently held an event called ‘Go North’ in Silicon Valley. TD Bank was the only bank that participated.

“The developers didn’t go to Silicon Valley because they don’t like the weather in Canada; they went to Silicon Valley because they thought they couldn’t find the right employers up here,” said Jeff Henderson, the chief information officer at TD Bank. “Our message down there is no, there are employers up here like TD Bank. You can come and work at TD and make a difference.”

Henderson also said that they are being very aggressive in acquiring new talent and leveraging their skills. TD aims to hire 1,000 technologists this year, including data scientists and artificial intelligence experts. They plan to recruit 65% of these field experts in other places than a bank, such as college campuses and of course, Silicon Valley.

The Future for TD Bank

The next step for TD is to start using software-as-a-service, or SaaS, applications. These applications will help people share documents and help the bank adopt agile development methods. According to Henderson, employees responded to a survey saying that want more mobility and to be unchained for their desks. That’s exactly what the purpose of implementing SaaS is.

Another factor of using SaaS is to create a more positive culture surrounding the employees. With this service they plan to redesign their work spaces to be more open, have less assigned seating and more team rooms.

To become a bank of the future TD Bank is using in-house innovation. The bank has labs in Communitech as well as in Cisco’s Toronto innovation lab that is used to design and test new products. According to Henderson, TD Bank is in a test-and-learn phase. The best use case for AI, in his opinion, is using virtual assistants that better understand the customers and their needs for the best personalized customer experience. TD Bank is currently testing some options in this concept.

Click here for more information on intelligent automation in Canada.

Link to Full Article: Read Here

Canada and IA Applications

The digital development of AI, which is essentially machines assisting decisions and performing tasks that normally require human intelligence is used across various industries from technology to the public sector. These technologies help improve our lives by supporting our decision-making and driving greater efficiencies by reducing time spend on day-to-day processes so we can optimize our time and efforts.

The same benefits can be brought to companies to create a talent advantage, drive efficiencies to create value and reduce waste in competitive industries. Intelligent automation and artificial intelligence can help organizations maximize their investment in talent by automating manual processes that sift through piles of data with machine intelligence. This allows organizations to focus on bigger opportunities and challenges – generating value and saving time and money.

See the full report here.

Canada was the first country in the world to develop and implement a national AI strategy. About 18 months ago, Canada led the globe by announcing the first national strategy. The five-year PanCanadian Artificial Intelligence Strategy unified Canada’s three major institutes – Vector Institute in Toronto, Amii in Edmonton and Mila in Montreal – with a national vision. Working together, the institutes would recruit and develop a critical mass of top AI researchers and practitioners that would, hopefully, become a magnet for investment and other top talent from around the world.

Although this strategy has worked in one way or another – the global race for AI development is on and Canada is not the front runner. According to an Accenture 10-country survey of 3015 business leaders, including 44 Canadian Executives – Canada is only narrowly ahead of Brazil and behind the rest of the surveyed countries, including the United States, China and the United Kingdom.

In a study conducted by Forbes Insights, Canada ranked last out of 10 countries, with only 31% of adopters of the technology claiming successful deployment, compared with 59% in Indian and 58% in Germany. Canadian companies also came ranked last for full deployment throughout their firm and encountered the most resistance from employees due to concerns about job security.

Trying to catch up

In a country, with a built-in AI strategy, citizens lack the trust in AI and has a lack of understanding what it is. Deloitte found that 86% of Canadians said they don’t ever use AI-powered tools despite the fact that 76% of them use a smartphone with AI-enabled virtual assistant programs and mapping software.

As a society, Canada must address real concerns about AI and the creations of undetectable fake news, the misuse of personal data or facial recognition software, decision-making tools that reinforce societal biases and cyberwarfare. If Canada doesn’t assume leadership role then other countries will take advantage of lack of competitiveness and job losses in Canada will even higher.

However, Canada’s early interest in deep learning allowed universities to attract the best and brightest researchers and students, and build thriving AI ecosystems across the country. One of the most important things for Canada to do to get aside is to work alongside other countries who are far along in intelligent automation and artificial intelligence.

Government commitment to AI has definitely helped Canada keep at the development of AI and will only continue to do so. In addition to providing financial support, Canada’s federal government recently introduced changes to the immigration policy that will make it easier for companies to bring in technical talent from other countries. A fast-track visa program that offers up permanent residency was introduced in June 2017 with the goal of attracting innovators from across the globe.

Canadian businesses do have practical barriers to overcome. Intelligent automation has the potential to transform productivity across all Canadian sectors but the gains will only be recognized if all the necessary complements are in place. Leadership, talent, and startups could be the answers to catching up to the rest of the world.

See the full report here.


Link to Full Article: Read Here

Directors’ Forum – AI Transforming Financial Services – Thursday 27th June

AI & Robotics Directors’ Forums hosted at the Gallup offices at the Shard the one day events cover a number of topics covering AI and Customer Experience.

Our First Event is all about AI Transforming Financial Services

Early Bird Tickets available until 17th May (limited number available)

Date 27th June 2019


We have a full schedule of events including the following dates:

  • AI & CX Transforming Financial Services, Thursday 27 June – Tickets Now Available
  • AI & CX Transforming Retail & Customer Data, Wednesday 17 July – Tickets Now Available
  • Conversational AI for Customers and Employees, Tuesday 29 October
  • AI Transforming HR & Recruitment, Thursday 21 November

Link to Full Article: Read Here

From Hype to Reality – Powering the AI-Driven Future of Insurance at Insurance AI and Analytics USA

With 2018 witnessing unprecedented advances in the investment and deployment of artificial intelligence within the insurance industry, Insurance Nexus is delighted to announce that the Insurance AI and Analytics USA Summitwill return to Chicago for a sixth time in 2019, welcoming more than 450 senior attendees to the Renaissance Chicago Downtown Hotel, May 2-3.

Featuring an agenda designed to tackle the biggest challenges and opportunities in AI and advanced analytics,Insurance AI and Analytics USAis a must-attend for any analytics, underwriting, claims or marketing innovators seeking to both achieve efficient and seamless operations and deliver valuable and relevant products and experiences.

It’s impossible to open a magazine without seeing hype about analytics changing every aspect of your life,” says Will Dubyak, VP Analytics for Product Development & Innovation, USAA. “The Insurance AI & Analytics USA Summit is the optimal place to cut through the noise, hear the latest thinking from industry leaders in analytics, and compare best practices with your colleagues

Across three in-depth tracks, more than 40 expert speakers from leading North American carriers will explore and discuss the latest strategies and approaches being deployed to maximize the impact of AI, machine learning and advanced analytics across the insurance value chain.

Featuring a whole session dedicated to case studies, the practical retelling of success stories will ensure attendees discover how, and where, technological innovations are having the biggest impacts on insurance and walk away with a holistic roadmap for success.

Confirmed speakers so far include Tilia Tanner, Global Head of Analytics, AIG, Eugene Wen, VP of Group Advanced Analytics, Manulifeand Jerry Gupta, SVP, Digital Analyst Catalyst, SwissRe, as well as:

  • Thomas Sheffield, SVP and Head of Specialty Claims, QBE
  • Glenn Fung, Chief Research Scientist, AI and Machine Learning Research Director, American Family Insurance
  • Laurie Pierman, Vice President, Claim Operations,Amerisure Insurance
  • Michiko Kurahashi, Chief Marketing Officer, AXIS Capital

Attendees to Insurance AI and Analytics USAwill also become part of a truly international insurance community, with over 25 hours of networking and interactive discussions aplenty. In addition, our ‘Open Design Workshops’ will see attendees attempt to live-solve industry challenges, giving insight into how peers and competitors alike approach a challenge, and how their own methods might be improved.

At QBE, we’ve spent a great deal of time figuring out how we can strategically deploy artificial intelligence in practical use cases to drive immediate value for business,” states Ted Stuckey, Managing Director, QBE Ventures. “We’re excited to share some of our experience at the Insurance AI and Analytics Conference in Chicago on May 2-3!”

In short, however you are seeking to leverage AI, Insurance AI and Analytics USAis the event for you. Don’t miss this unparalleled opportunity. Join us in making 2019 the year AI insurance changes, forever.

Ira Sopic

Insurance Nexus is part of FC Business Intelligence Ltd. FC Business Intelligence Ltd is a registered company in England and Wales. Registered number 04388971, 7-9 Fashion Street, London, E1 6PX, UK

Insurance Nexus is the central hub for insurance executives. Through in-depth industry analysis, targeted research, niche events and quality content, we provide the industry with a platform to network, discuss, learn and shape the future of the insurance industry.

Link to Full Article: Read Here

AI @ Oxford

AI @ Oxford

Every year we bring a group of outstanding data science practitioners to Christ Church, Oxford, for an advanced, intensive course on AI. Among our delegates are the current and past Kaggle champions. Due to the advanced nature of the content, many of our delegates are senior industry leaders and decision makers with a lot of experience, many of them leading data science and AI teams or entire organisations. There are also many senior quants with decades of experience in finance, seeking to reposition towards AI.

The AI @ Oxford School

The lectures are given by leading academics, including Dr. Paul Billion and Prof. Matthew Dixon, and industry-leading practitioners from finance, insurance, medicine, engineering, and beyond.

Our condensed, intensive, interactive five-day course will take our delegates from a brief overview of the mathematical foundations to current state of research and industry practice in ML/AI.

In addition to covering the depths of the theory, we work through real financial, medical, and engineering datasets, showing how highly nontrivial and non-obvious information can be extracted from them. In finance, this leads to superior alpha and better execution. In medicine, this leads to saving lives and money.

Artificial Intelligence Board of America

Artificial Intelligence Board of America

The Artificial Intelligence Board of America (ARTIBA) researches, designs and validates excellence through credible and industry acknowledged standards and certifications. The objective of ARTIBA is to serve the AI profession by providing professionals with comprehensive resources that improve their expertise in the job and keep them abreast of the latest trends in AI.ARTIBA provides the Artificial Intelligence Engineer (AIE™) certification program. The AIE™ credential stands for the present and aspiring Artificial Intelligence professionals as an industry-recognized qualification across the world. This credential is centered around the ARTIBA AMDEX™ – the AI & ML Design & Engineering Excellence Framework – a powerful knowledge model for excellence in enterprise-level Artificial Intelligence practice.

Tweets by ARTIBA_Insights


AI @ Oxford

Every year we bring a group of outstanding data science practitioners to Christ Church, Oxford, for an advanced, intensive course on AI. Among our delegates are the current and past Kaggle champions. Due to the advanced nature of the content, many of our delegates are senior industry leaders and decision makers with a lot of experience, many of them leading data science and AI teams or entire organisations. There are also many senior quants with decades of experience in finance, seeking to reposition towards AI.

The AI @ Oxford School

The lectures are given by leading academics, including Dr. Paul Billion and Prof. Matthew Dixon, and industry-leading practitioners from finance, insurance, medicine, engineering, and beyond.

Our condensed, intensive, interactive five-day course will take our delegates from a brief overview of the mathematical foundations to current state of research and industry practice in ML/AI.

In addition to covering the depths of the theory, we work through real financial, medical, and engineering datasets, showing how highly nontrivial and non-obvious information can be extracted from them. In finance, this leads to superior alpha and better execution. In medicine, this leads to saving lives and money.

Source: Shared.AI

Link to Full Article: Read Here

Artificially Intelligent Claire

My name is Claire and I’m on a mission to help everyone with understanding big data concepts and how to use artificial intelligence – it is my passion! So much so I want to pass this love on to you! I help inquisitive millennials who love to learn about tech and artificial intelligence by blogging about learning to code and innovations in AI.


The Senseon platform is a unique and innovative AI-led approach to cyber threat detection. Senseon offers security teams unparalleled visibility across their organisations, allowing for the
detection of even the most subtle and complex of cyber attacks. By alerting accurately on genuine threats, Senseon dramatically reduces false positive alerts.

The technology (AI Triangulation)
Senseon deploys its senses across endpoints, networks, and Investigator Bots – which look at potential threats from an outside point of view – to detect unusual activity anywhere in the organisation. Senseon’s unique AI Triangulation technology thinks like a human analyst. By observing threats from multiple perspectives, pausing for thought, and learning from experience, Senseon automates the process of investigation. In this way, Senseon detects even the most subtle and complex of cyber attacks, increases the accuracy of threat detection, and
dramatically reduces the number of false positive alerts.

Product sheet:

“Real time machine learning technologies, like Senseon,
are critical in helping organizations cut through the
noise of their busy networks to identify the real threats.”
Dr Ken Urquhart, Former Senior Director, Microsoft Alchemie Ventures



simMachines is a machine learning software company offering explainable AI solutions to a variety of industries. Visit our website or contact us for more information.

simMachines was founded in 2012 by data scientist Arnoldo Muller. Since 2004, the founder has achieved several scientific accomplishments and contributions, leading to the commercial launch of simMachines in 2016.

Tweets by simMachines



The BICO Artificial Intelligence optimization platform will enhance rider experience and accelerate the growth of Bike Share Schemes in Santiago, Buenos Aires and across Brazil

London, 30th January 2018 – Stage Intelligence the leading Artificial Intelligence (AI) platform provider for Mobility and Logistics, has been selected by Tembici, the leader in bike sharing in Latin America, to deploy its BICO AI optimization platform in cities across the region. AI will be used to automate and accelerate Tembici’s operations creating efficiencies across their Bike Share Schemes as well as reducing their impact on the environment.

The initial phase of the deployment will cover cities in Brazil including Rio de Janeiro, Sao Paulo, Recife, Salvador, Port Alegre and Vila Velha. In phase two, the BICO AI optimization platform will be rolled out in Santiago, Chile, and Buenos Aires, Argentina. Altogether, Tembici will use BICO to optimise rider experience and increase the usability of over 16,000 bikes.

“Tembici is passionate about the transformation in Bike Share Schemes and recognises the potential of AI to benefit both its operations and riders across Latin America. After a successful trial, we are extremely proud to be deploying in eight new cities and using our platform to support the growth of Bike Share Schemes across the continent,” said Tom Nutley, CEO at Stage Intelligence. “Stage believe that a smarter approach to transport results in sustainable Bike Share Schemes but also healthy and happier riders and communities. We look forward to growing our partnership with Tembici across Latin America and enabling its success in new markets.”

Tembici is the largest Bike Share company in Latin America. Across its schemes, it was looking for a way to ensure usability for riders while creating new cost-efficiencies. Usability of a Bike Share Scheme is about ensuring that bikes and docking stations are available when and where they are needed most. When riders are able to access bikes or docks, they are likely to make Bike Share part of their daily routine. Reliability is an integral part of any mobility operation and ensuring access to bikes or docks enables both ridership and revenue growth in schemes.

“The BICO AI optimization platform delivers a benefit to our operations that enables us to keep providing an exceptional service to riders, and in the same time save costs. We have seen the power of the platform in our trials with Stage Intelligence and we believe BICO has tremendous potential for our schemes,” said Mauricio, COO at Tembici. “BICO has been proven to reduce the number of trucks required for redistribution which reduces CO2 emissions while also getting more people on bikes and enjoying cycling in our cities. It is a win-win for citizens and urban areas.”

Stage Intelligence has deployed its BICO AI optimization platform in Bike Share Schemes in major cities including Paris, Helsinki, Chicago and Guadalajara, Mexico. It has had success in reducing the number of trucks needed to redistribute bikes and over the last 12 months has reduced CO2 emissions in its Bike Share Schemes by 10 metric tonnes. Stage Intelligence has also seen the number of rides per bike per day increase by 5.5 in its top performing scheme. This means more people are using the scheme and using it consistently while operators benefit from increased return on investment per bike.

About Stage Intelligence

Stage Intelligence specialises in developing Artificial Intelligence solutions for the mobility and logistics industry. Its flagship solution, the BICO AI optimization platform, delivers real-time intelligence for the management of Bike Share Schemes.

BICO enables precise and optimal decision making and has been purpose-built to remove the complexity from managing resources within a Bike Share Scheme. Partners choose Stage Intelligence because its solutions increase their agility, adaptability and enable them to move beyond traditional manual processes.

Since its inception in 2011, Stage has collaborated with leading Bike Share operators from around the world to solve complex problems and deliver solutions that have a lasting impact on their operations.

About tembici

Tembici is the leader in the Bike Share market in Latin America. Responsible for the planning, implementation and operation of shared bicycle systems in 18 cities in Brazil, Argentina and Chile. The company also has bicycles parking lots, totaling 34 projects that are part of the daily lives of 3.5 million users of Porto Alegre, Rio de Janeiro, Salvador and São Paulo, among others. Currently, the startup has more than 500 employees who ensure that more than 1 million trips a month are an excellent transportation experience in those cities.

Siddartha Khastgir

Siddartha Khastgir

Siddartha Khastgir is an automotive engineer on a mission to bring driverless cars to a safe reality. Sharing his passion for cars and driverless car technology and backed by extensive research during his PhD, he challenges our fundamental expectations of safety and our misconceptions about driverless cars.

This eye-opening talk cuts through the media-hype and provides an insider’s view into how we as a society can benefit from driverless cars, even if they are imperfect! Siddartha is the Research Lead for Verification & Validation of Driverless Car technologies at WMG, University of Warwick, UK. He has been recognised both nationally and internationally for his applied research contributions, and was listed in the prestigious Forbes ’30 Under 30′ Europe 2018 list. He is part of an international team of experts creating international standards for safe introduction of driverless cars.


Follow on Twitter @siddkhastgir



DigiFutura is design driven application development company focused to create compelling user experience design digital experiences and building topnotch highly scalable web and mobile applications for enterprises, startups and SME’s.

DigiFutura is specialized in helping clients with their data strategy, automating their mundane tasks by utilizing AI/ML methods and most importantly creating delightful user experiences based on data.

DigiFutura has been awarded as one of the Top 10 Best Startup in Mobile Application Development Companies in 2016 by Startup City Magazine.

Services: UI/UX Design, Mobile App Development, Web Developement, AI/ML Solutions.

Tech Skills: Ruby on Rails, React Native and ReactJS, NodeJS, Vue.js, AngularJS, Python, Swift, IBM Watson, Microsoft Cognitive Services, Google AI.

Industries Experince: Healthcare, Logistics, Finance, Education, Sports, Retail, Transportation, Wellness and Fitness.

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