Join us for an overview of how GIS-based artificial intelligence (AI) and machine learning can be leveraged for transportation agencies. This webinar will give a broad overview of these emerging technologies. We will discuss how these technologies can be leveraged in ArcGIS, and then dive into a number of transportation related use cases, such as feature extraction from lidar and imagery for highway and rail, as well as crash risk prediction and traffic modeling from video analytics. Join us to see how you can put these emerging technologies to work in your organization.
While several Member States have or are in the process of developing their AI strategies, smart cities and communities could well be the main beneficiaries of AI. With the increasing use of digital devices, sensors and Internet of Things (IoT), smart cities have seen a tremendous growth in data generated, including real-time and Big Data. This wealth of data, combined with machine and deep learning, can recognise patterns, help predict events, allow for more personalised services, optimise the use of resources as well as strengthen evidence-based analytical capability for policy-making and implementation. In order however, to benefit from the possibilities of AI at local level, there is a need for large amounts of high quality data, with relevance in the urban context (economic, urban, geographical, technical, climatic, health, etc.). Smart cities and communities are however, not yet fully exploiting the value of data and AI.
Resiliency and scalability of contact centers are the key factors to Business Continuity Planning. Contact centers built on legacy systems are expensive to maintain and do not scale well to handle increasing customer anxiety. Contact center operations face dips in agent productivity due to legacy technology and skill gaps.
An introduction to cloud computing from IaaS and PaaS to hybrid, public and private cloud. Cloud computing in 2020 is more mature, going multi-cloud, and likely to become more focused on vertical and a sales ground war as the leading vendors battle for market share. Picking the top cloud services provider isn't easy given that the answer -- much like enterprise software and IT in general -- boils down to "it depends." Whether it's Amazon Web Services, Microsoft Azure, and Google Cloud platform in infrastructure as a service, or IBM, Dell Technologies, Hewlett-Packard Enterprise, and VMware in multi-cloud hybrid deployments, there are multiple variables for each enterprise. That said, a few key trends are emerging for cloud computing in 2020 that have shifted from 2019, 2018, and 2017. With that backdrop, let's get to the 2020 top cloud computing vendors. Disclosure: ZDNet may earn a commission from some of the products featured on this page. ZDNet and the author were not compensated for this independent review. AWS was the early leader in public cloud computing and has become a major player in AI, database, machine learning and serverless deployments. AWS was the first cloud computing and offering infrastructure as a service in 2008 and has never looked back as it launches new services at a breakneck pace and is creating its own compute stack that aims to be more efficient and pass those savings along. AWS has expanded well beyond cloud compute and storage. If processors based on Arm become the norm in the data center, the industry can thank the gravitational pull of AWS, which launched a second-generation Graviton processor and instances based on it. If successful, the Graviton and the Nitro abstraction layer can be the differentiator for AWS in the cloud wars.
More than 73 million user records have been stolen from a number of online services and are being sold on the dark web for a total of $18,000. The hacker group, named'ShinyHunters', scraped data from at least 10 companies including Zoosk, Chatbooks and the StarTribune. The online dating app, Zoosk, had the largest breach, as the cybercriminals grabbed 30 million user record and Chatbooks came in second with 15 million, according to ZDNet. Chatbooks is the only firm to acknowledge the attack, which said login credentials including names, email address and passwords were taken in the haul, along with some phone numbers and FacebookIDs. More than 73 million user records have been stolen from a number of online services and are being sold on the dark web for a total of $18,000.
Discover how AI-driven behavioral recognition technology is different from other video analytics technologies Learn how behavioral recognition systems can help authorities, enterprises and medical centers monitor and enforce restrictions on public activity necessary to contain the coronavirus and to save lives. Identify how this technology can contribute to maintaining public safety and order, something that will prove to be a challenge as lockdown measures result in closed businesses and greater economic hardship for many people. Learn how behavioral recognition systems can help authorities, enterprises and medical centers monitor and enforce restrictions on public activity necessary to contain the coronavirus and to save lives. Identify how this technology can contribute to maintaining public safety and order, something that will prove to be a challenge as lockdown measures result in closed businesses and greater economic hardship for many people.
Our second meeting of 2020 will focus on how Artificial Intelligence (AI) can be used in the field of genomics to help to develop personalised medicines and treatments to improve patient outcomes. AI has come a long way in health care and it has many different uses, one of those applied to genomics, by identifying individuals' phenotypes and genotypes health care professionals can offer personalised medicine, tailoring the right therapeutic strategy for the right person at the right time. AI can also determine an individual's predisposition to a disease, offering him/her timely prevention. The concept behind personalised medicine is to customize therapies to ensure they are tailored for patients based on their own unique genomic profile. But the cost of processing and storing every citizen's fully sequenced genome might be significantly costly.
For marketers, AI is perhaps the most intimidating abbreviation flying around the boardroom, the event hall, and the company Slack channel. But it doesn't have to be. Just as complex software deployments have become streamlined and marketer-friendly through software as a- service (SaaS), artificial intelligence will be going the same way much sooner than we all think. Before we talk AI, let's first talk personalization--a term marketers are far more comfortable with. Today, many brands face troubles when attempting effective personalization at scale.