I work at ValueFirst Digital Media Private Ltd. I am a Product Marketer in the Surbo Team. Surbo is Chatbot Generator Platform owned by Value First. ...Full Bio
I work at ValueFirst Digital Media Private Ltd. I am a Product Marketer in the Surbo Team. Surbo is Chatbot Generator Platform owned by Value First.
Success story of Haptik
530 days ago
Who is afraid of automation?
530 days ago
What's happening in AI, Blockchain & IoT
531 days ago
3 million at risk from the rise of robots
531 days ago
Artificial Intelligence & Blockchain to merge in 2018
Today, the blockchain technology is increasingly being used in
the financial services sector and it is about to receive a healthy dose of artificial
intelligence. The new automated analytics techniques will look for patterns in
the relationship data about contracts, people & transactions.
Dr. Scott Zoldi, chief analytics officer at a Silicon Valley software firm FICO, predicts a merger of these two technologies in the coming future.
‚??Beyond its association with cryptocurrencies, blockchain technology will soon record ‚??time chains of events,‚?? as applied to contracts, interactions and occurrences,‚?? Dr. Zoldi wrote on the FICO Blog.
‚??Think about renting a car. In the future, you will be able walk up to a car to lease it, but you‚??ll do so with a micro-loan for which you are approved to lease the car for, say, an afternoon. This micro-loan will have insurance contracts attached to the blockchain, and a codified history of the car‚??s history of drivers, events, and maintenance. As you drive through the city and interact with toll roads and parking spaces, all of this information will be automatically recorded and monitored on the blockchain. When you leave the car and lock it, the lease is complete and auditable on the chain. These kinds of data event chains will create new opportunities for graph analytics and novel new AI algorithms to consume relationship data at scale.‚??Dr. Zoldi, who leads the team that builds FICO‚??s AI analytics for solutions such as fraud management and cyber security, also sees a rise in what he calls ‚??defensive AI.‚??
‚??Attackers use malicious AI and ML to circumvent the
protective systems companies have in place,‚?? he wrote. ‚??This arms race, in
which criminals arm themselves with adversarial machine learning, tops McAfee‚??s
2018 security forecast. In 2018 we will see new systems that will seed their
outputs with ‚??faint signatures‚?? to mislead, confuse or identify the attackers
learning the AI system‚??s response.‚??
As chatbots get smarter and use more AI, they will not only understand us better, they will also be better at manipulating us, Dr. Zoldi predicts. ‚??By quickly understanding the tone, content and predicted highest-value conversational paths to meet various objectives, chatbots using AI can also learn the magic words to sway our attitude, actions and possibly elicit en masse reactions‚??.
Other Predictions for 2018
AI will be required to explain itself ‚?? Regulations like the European Union‚??s General Data Protection Regulation (GDPR) have made Explainable AI (XAI) a dire need. This requires explanations for decisions based on scores, including the ones produced by AI & ML systems.
We will be augmented by AI ‚?? AI will begin to augment our ability to process new information. It could be drawing information together to help us in investigation, data recall or improving how we learn about a certain topic.
AI will get operationalised ‚?? In 2018, companies will begin to focus on operationalizing AI. This will take place specially in cloud, that will help more easily build, refine & deploy machine learning environments.