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 BioI 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
1103 days ago
Who is afraid of automation?
1103 days ago
What's happening in AI, Blockchain & IoT
1104 days ago
3 million at risk from the rise of robots
1104 days ago
5 ways Machine Learning can save your company from a security breach
1104 days ago
Google Course for IT beginners, certificate in 8 months: Enrollment starts on Coursera today, check details
37791 views
7 of the best chatbot building plaftorms out there
29310 views
'Star Wars' and the Future of Artificial Intelligence
27666 views
Could your job be taken over by Artificial Intelligence?
27489 views
Artificial Intelligence Timeline: Infographic
25707 views
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.
â??Beyond its association with cryptocurrencies, blockchain technology will soon
record â??time chains of events,â?? as applied to contracts, interactions and
occurrences,â?? Dr. Zoldi wrote on the FICO Blog.
â??Think about renting a car. In the future, you will be able walk up to a car to
lease it, but youâ??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 carâ??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.â??Dr. Zoldi, who leads
the team that builds FICOâ??s AI analytics for solutions such as fraud management
and cyber security, also sees a rise in what he calls â??defensive AI.â??
â??Attackers use malicious AI and ML to circumvent the
protective systems companies have in place,â?? he wrote. â??This arms race, in
which criminals arm themselves with adversarial machine learning, tops McAfeeâ??s
2018 security forecast. In 2018 we will see new systems that will seed their
outputs with â??faint signaturesâ?? to mislead, confuse or identify the attackers
learning the AI systemâ??s response.â??
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. â??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 reactionsâ??.
Other Predictions for 2018
AI will be required to explain itself â?? Regulations
like the European Unionâ??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 â?? 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 â?? 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.