120 AI Predictions For 2019
Me: “Alexa, tell me what will happen in 2019.”
Amazon AI: “Do you want to open ‘this day in history'?"
Me: “Alexa, give me a prediction for 2019.”
Amazon AI: “The crystal ball is clouded, I can’t tell.”
My conversation with Amazon’s “smart speaker” or “intelligent voice assistant” just about sums up the present state of “artificial intelligence” (AI) at home, the office, and the factory: Try a few times and sooner or later you will probably get the correct action the human intelligence behind it programmed it to perform.
What will be the state of AI in 2019?
The following list features 120 senior executives involved with AI, all peering into their not-so-clouded crystal ball, and promising less hype and more practical, precise, and narrow AI.
“Self-Driving Finance is a practical implementation of AI that is already used in one form or another by millions of bank customers around the globe and will only get better in the coming years. Based on projects that are currently underway with banks at different parts of the world, I see a big uptake in the number of customers that will rely on AI to ‘drive’ their finances and take automated actions to help them reach their financial goals. To deliver effective Self-Driving Finance, financial institutions will require specialized forms of AI for each of their customer segments such as retail, small business, and wealth—moving away from more generic forms of AI towards domain-specific solutions that embed subject matter knowledge and expertise”—David Sosna, Co-founder and CEO, Personetics
“2019 will be the year of specialized AI systems built by organizations based on their own data. Given the realization that organizations sometimes have only limited amounts of data, but also require specialized data, organizations will come to realize that they need tools to easily create quality AI data internally. This quality over quantity approach will require organizations to take stock of the data they have and ask themselves key questions: is this data representative of what I’m looking for, and does it match my goal? Will the production data match this training data? Did I strike a balance between repeatability of images and variation? Is my dataset diverse? Taking new approaches to data strategy will be make-or-break for overcoming the challenges of AI’s data problem, to develop AI that works in the real world”—Max Versace, PhD, CEO and co-founder, Neurala
“AI will enable greater process discovery. Process discovery is like a sensor embedded in the application that learns all of the user journeys, using AI to predict the optimal path for interacting with a system. Similar to using a GPS such as Waze when you're driving to unlock optimal routes depending on the time of day, AI will unlock how each employee can best use a system, providing a range of possibilities based on what the individual needs to do”—Rephael Sweary, Co-founder and President, WalkMe
CES 2019: Hyundai unveils Elevate, a concept car which can walk & crawl with robotic legs
LAS VEGAS: South Korean car maker Hyundai on Monday gave a look at work it is doing on a vehicle with robotic legs to let it walk or crawl over treacherous terrain.
Hyundai showed off its Elevate project on the eve of the Consumer Electronics Show gadget extravaganza, billing it an unprecedented "Ultimate Mobility Vehicle" that combines technology from electric cars with robotics.
"What if a car designed with robotics could save lives in disasters," said Hyundai executive John ..
C-V2X module handles telematics, connectivity for next-gen autonomous driving
Quectel Wireless Solutions (Quectel) announced the global launch of the automotive grade C-V2X module AG15, which features the Qualcomm 9150 C-V2X chipset solution from Qualcomm Technologies, a subsidiary of Qualcomm Incorporated. The module is now sampling to the automotive industry for the development of commercial C-V2X products. The AG15 C-V2X module is manufactured in accordance to IATF 16949:2016 quality management system standard for the automotive sector, and it fully complies with the automotive product quality processes, including APQP and PPAP. Pairing with the Quectel automotive grade LTE module AG35, Quectel’s AG15 is designed to meet the telematics and Vehicle-to-Everything (V2X) connectivity requirements of the next-generation automotive applications, such as autonomous driving and road safety.
Also known as LTE-V2X, C-V2X is the V2X communication technology based on the globally recognized 3rd Generation Partnership Project (3GPP) Release 14 Specifications. The PC5-based direct communication mode of C-V2X supports Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) and Vehicle-to-Pedestrian (V2P) communications on the 5.9 GHz Intelligent Transport System (ITS) spectrum. In addition, C-V2X paves a strong evolution path toward 5G New Radio (5G NR) and plays an essential part of the future of safe autonomous driving with its capabilities including Non-line of Sight (NLOS) sensing to support high-speed mobility and high vehicular density deployments.
Based on C-V2X technology, the Quectel AG15 module adopts the 3GPP Release 14 C-V2X PC5 protocol. It is designed to allow low-latency, highly reliable and highly dense data exchange between vehicles and their surroundings, enabling effective information sharing among road users in avoidance of collisions, thus improving automotive safety, automated driving and traffic efficiency. Without the need for a Subscriber Identity Module (SIM), cellular subscription or network assistance, the C-V2X direct communication mode helps reduce complexity and cost for customers.
Capitalizing on the “Connected Truck”
Fleet monitoring has been the focus of significant modernization in recent decades. The ultimate goal of fleet monitoring is to maintain a connection between fleet managers and fleet vehicles, not merely for tracking and visibility, but also to improve driver safety and security, preserve the company’s assets, and guarantee the intact delivery of the freight on board. These days, simple telematics systems alone may not be sufficient to accomplish these goals. Modern fleet management goals now necessitate the advent of what may be considered the “connected truck.”
What is a Connected Truck?
Beyond remote diagnostics, GPS, and zone monitoring, today’s connected truck monitors the current condition of the vehicle and the vehicle’s ability to best utilize its resources to make specific deliveries safely and efficiently. In addition to providing simple diagnostic data, today’s connected truck considers what is on board each truck and who is in the field. It interacts with fleet planning and tracking software, manages telematics and deliveries, and is acutely aware of the current inventory on each truck at all times.
Five trends transforming the automotive industry
The mobility of the future is “eascy” – electrified, autonomous, shared, connected and “yearly” updated. In this study, we describe the factors influencing the sector leading up to 2030 in the key US, Europe, and China markets. It also describes how the automotive industry should restructure itself in terms of volume, scale, and complexity.
Through mathematical modeling of key performance indicators and demographic trends, the paper discusses:
- Mobility behaviour of users through social personas and how they could influence traffic demand;
- External factors that will influence mobility habits, vehicle mileage and frequency of usage;
- Predictions of car inventory, replacement cycles and new sales; and
- Implications for manufacturers, suppliers, service providers and their business models.
Electrified – the transition to emissions-free mobility will become a global requirement. Electricity used to charge vehicles will increasingly come from renewable sources to ensure carbon dioxide-neutral mobility.
Autonomous - The development of vehicles which require no human intervention will reduce the use of public mobility platforms and offer individual mobility to new user groups.
Shared – Professionally managed fleets of shared vehicles will reduce the cost of mobilty by a significant amount through more efficient use of expensive mobile assets.
Connected – This applies in two ways: communication between cars or with traffic management infrastructure or between vehicle occupants and the outside world. The car of the future will become a “third place” between home and workplace, combining features of both.
‘Yearly’ updated – The range of models will be updated annually to integrate the latest hardware and software developments, and react to changing requirements of shared fleet buyers.
Will Apple Buy Tesla In 2019?
What price Apple to buy Tesla in 2019? Denmark’s Saxo Bank thinks it knows. The forecast is second on the company’s just-released ten “outrageous predictions for 2019” list of “unlikely but underappreciated events which, if they were to occur, could send shockwaves across financial markets.”
Tesla would be worth $90 billion, at the $520-per-share price that fintech specialist Saxo is tipping it to be taken out at. That is 40% higher than Tesla’s current $64 billion stock market capitalization and $100-a-share more than the amount at which chief executive Elon Musk tweeted in August that he was considering taking the company private. Saxo says its rationale is that Apple will realize that if it wants to deepen its reach into the lives of its user base, “the next frontier is the automobile,” as cars become more digitally connected. Drawing comparison with how Apple’s late co-founder Steve Jobs liked to “bet big and bet wild to avoid complacency and irrelevance,” it adds: “Tesla needs more financial power and Apple needs to expand its ecosystem to the car in a more profound way than that represented by the current Apple CarPlay software.”
If that sounds too far-fetched, just try some of Saxo’s other “outrageous predictions.” The bank reckons 2019 could be the year that President Trump fires Federal Reserve chair Jerome Powell, Labour’s Jeremy Corbyn sends the pound and the dollar to parity by becoming U.K. prime minister in a snap general election and Germany enters recession. Its other forecasts include tips that the European Union will announce a debt jubilee and that a corporate credit crunch will see Netflix follow General Electric in losing further credibility in credit markets as investors panic over their liabilities. Saxo sees a credit crunch doubling Netflix’s funding costs, “slamming the brakes on content growth and gutting the share price,” while Disney’s 2019 entrance into the video streaming industry also acts to halt the movies giant’s Netflix growth.
NEXYAD CONFERENCE AT CES 2019 FOR XAVIER DALLOZ THINK TANK
NEXYAD was invited to talk at the Xavier DALLOZ think tank conference at CES 2019.
It was about Artificial Intelligence for mobility.
Very interesting discussions and a valuable overview of what's goind on at CES.
Sensor Fusion for Self-Driving Cars
There are essentially three main system functions of self-driving cars: (1) car sensor-related system functions, (2) car processing related functions that we tend to consider the AI of the self-driving car, and (3) car control related functions that operate the accelerator, the brakes, the steering wheel, etc.
I am going to discuss today mainly the sensors and an important aspect of sensory data usage that is called sensor fusion. That being said, it is crucial to realize that all three of these main systems must work in coordination with each other. If you have the best sensors, but the AI and the control systems are wimpy then you won’t have a good self-driving car. If you have lousy sensors and yet have strong AI and controls capabilities, you will once again have likely problems because without good sensors the car won’t know what exists in the outside world as it drives and could ram into things.
As the Executive Director of the Cybernetic Self-Driving Car Institute, I am particularly interested in sensor fusion, and so I thought it might be handy to offer some insights on that particular topic. But, as noted above, keep in mind that the other systems and their functions are equally important to having a viable self-driving car.
A self-driving car needs to have sensors that detect the world, and there needs to be subsystems focused on dealing with the sensors and sensory data being collected. These can be sensors such as cameras that collect visual images, radar that makes use of radio waves to detect objects, LIDAR (see my column about LIDAR) that makes use of laser light waves, ultrasonic sensors that use sound waves, and so on. There are passive sensors, such as the camera that merely accepts light into it and therefore receives images, and there are active sensors such as radar that sends out an electromagnetic radio wave and then receives back the bounce to then figure out whether an object was detected.
The sensory data needs to be put together in some fashion, referred to as sensor fusion, in order to make sense of the sensory data. Usually, the overarching AI processing system is maintaining a virtual model of the world within which the car is driving, and the model is updated by new data arriving from the sensors. As a result of the sensor fusion, the AI then needs to decide what actions should be undertaken, and then emits appropriate commands to the controls of the car to carry out those actions.
GCF Announces Certification for V2V and V2X Automotive Communications Technologies
The Global Certification Forum (GCF) has announced the inclusion of cellular (LTE) based vehicle-to-everything (V2X) and vehicle-to-vehicle (V2V) communication technologies within its certification programme. The specific technologies covered by this certification are based on “LTE sidelink” - an adaptation of core LTE standards as defined in 3GPP release 14, allowing for communication between two or more nearby devices. The new certification features will be available from Q3 2018, with GCF’s network of members looking to ensure the commercial availability of the test equipment necessary to support certification testing.
Wireless standards such as those covered by 3GPP release 14 are critical to enabling the connected vehicle ecosystem, and compliance to these standards is essential in a multi-vendor environment. From later this year, GCF will support manufacturers of relevant V2V and V2X communications technologies in gaining certification against 3GPP release 14 standards, enabling them to demonstrate compliance of their products.
“The addition of V2V and V2X to GCF certification marks a milestone as we build on core telecoms technologies and move to support key industry verticals such as automotive as they integrate mobile technologies into their products,” said Lars Nielsen, General Manager, GCF. “It perfectly aligns with our overall strategy which is to fully service and enable the emerging 5G ecosystem.”
The automotive industry is the largest segment of the rapidly growing IoT market, where mainstream adoption of “connected things” is predicted to be globally accepted by 2020. Innovation in connected and autonomous vehicles is creating new demands on automotive communications technologies, to enable vehicles to communicate with the internet, other vehicles, the road infrastructure, other road users and pedestrians. Automotive device manufacturers are creating a multitude of solutions to this challenge, and in this fast-moving market, compliance with the latest relevant wireless standards is essentialto facilitate successful adoption of the technologies
Autonomous Vehicles' Means New Opportunities for Auto Insurers
A World of Driverless Cars is Fast Approaching
How can Insurers Benefit from Autonomous or Semi-Autonomous Vehicles?
How can Insurers Benefit From Autonomous or Semi-Autonomous Vehicles?
The idea of an autonomous vehicle has quickly moved from a futuristic concept only to be seen in movies – to our reality. Currently on the market are semi-autonomous cars, like the Tesla Model S with “Autopilot”. The autopilot feature uses radar, cameras, GPS and sensors to keep cars within lanes and maintaining safe following distances and is intended for highway use, where driver is able to take over at anytime. The Tesla is just one example of what is on the market, and with virtually every automaker working on and developing self-driving models, it is forecasted that driverless cars will be in use all over the world by 2025.
Where does that leave the “driver”? Drivers are now the passenger in their own vehicle, and with their hands freed up, the demand for connected car services will increase exponentially. For insurers this means capitalizing on the trend with value-added services offered through insurance. Every insurer that has a usage-based insurance (UBI), pay how you drive (PHYD) and mile-based auto insurance offering, has the opportunity to offer a full suite of value added services to enhance the occupants experience in an autonomous or semi-autonomous vehicle. The days of offering a driver a discount based on their driving behaviour or on a mile driven program will no longer suffice in attracting low-risk drivers and enhancing customer loyalty. The availability of services and offerings will become increasingly important to consumers when making decisions about their vehicles and their insurance carrier.
For insurers, the outlook is bright: during the next five years, the proportion of new and existing vehicles equipped with 4G LTE will grow substantially, and by 2020 a quarter billion connected vehicles will be on the road, enabling new in-vehicle services and automated driving capabilities, according to Gartner, Inc. Autonomous and connected cars will be a major element of the Internet of Things (IoT) and the demand for value added services will continue to grow.
Drivers are going to want the same level of access from their vehicle as they have at home or in their offices. They will want to spend their traveling time, working, shopping, banking, relaxing or accessing entertainment. Services like vehicle maintenance, traffic, fuel price, weather, parking, flight, travel and streaming content will become must-haves for drivers and their passengers.
For insurers getting the business of a driver with an autonomous car will be key. With autonomous cars proven to be safer to navigate, and having a lesser likelihood of getting into accidents than the traditional car of today, insurance companies will benefit in insuring them. Offering a suite of value added services today will not only result in an engaged customer but can also go a long way in terms of keeping your business at the forefront for future business as connected and autonomous vehicles continue to rollout and become mainstream.