Hello community members, and welcome to our first Ask Us Anything about Artificial Intelligence session on TM Forum Community! Today, our expert, @Brian Levy , will be available to answer any and all of your questions from now until 1 pm EST.
Brian has been in the communications and broadcasting industry for more than 40 years. His experience includes being the Group Technology Officer of British Telecom, The Global CTO for HP for the Telecom and media sectors, The Software and the EMEA CTO for Juniper Networks and the EMEA CTO for Brocade Network, he also spent ten years in the BBC working in various roles developing the broadcast infrastructure and ten years working for AT&T in EMEA leading the role out of Frame Relay and AT&T's very first Internet backbone in EMEA.Please use this thread to post your questions, and Brian will respond as quickly as he can. If he does not have an opportunity to respond to your question within the timeframe, we will follow up with you in the next week.We are very excited and Brian is ready to answer your questions about AI, so please post your question below.
This is a complex question, in the more general sense do we need Facebook and Social Media. I think the genie is out of the bag now with AI and there is no way to put it back , it is coming and it will be very hard to stop it. The changes that AI will make to society are profound – Self driving cars, Call Centers with no people, automated operations, automated doctors etc etc.
It will be more disruptive to society than the industrial revolution, it can be for the good of society or the bad, that is our choice at the end of the day.
For the telecommunications networks of the future AI will absolutely be needed to dive automation, however the effects on society of AI will be far more profound than this
Can it be controlled, well I think the first question will be how can we avoid being too dependent on it. Imagine a world of self drive cars, delivery vans etc and the system goes down..
In the longer team it will very hard to understand the answers that AI delivers so working out how to control it may well be beyond our capacity
Several examples of applied AI from my telecom implementations from early 2000's:(1) Pro-active disclosing/alerting problems (system was able to predict failures when people saw everything ok),(2) Automated fixing problems,(3) Consulting expert for technicians in the field,(4) Automated programming for new devices after expanding HW infrastructure,(5) OL 3D visualization of operation with contextual automated point of view positioning,(6) Automated adviser recommending topics of interests for NOC,(7) Recognition of threats in the network,(8) Emergency operation despite of failed parts by means of learned estimated behavior...(9) Ex-post fixing consequences of failures,(10) Dynamic distribution of computing power under attacks and other emergency situations...
1: It is possible to have some recommendation about cognitive platforms about unstructured text profiling and also about image recognition?
2: Is possible to share some use cases list, or some catalysts projects running, of AI application different from "the classical" Customer care bot?
It is difficult to give specific recommendations here as there are so many companies in this emerging field. Artificial Solutions http://www.artificial-solutions.com/ are a leading company in the area of natural language interaction (NLI). They have a system that can converse in 35 languages
We can follow-up on the catalysts, however there are three application areas that I believe will be of most interest to service providers
Check out this great paper on the Knowledge Defined Network for something more inspiring than Chatbots
I believe that the TM Forum has a big role to play for our industry. The new ODA (Open Digital Architecture) under discussion in the forum has the aim of making our future OSS and BSS integrated architecture AI Ready
There are three KEY requirements for this
Secondly we need to help connect the AI ecosystem of companies to address the communications industry.
In simple terms we can define how AI would connect in a consistent way to BSS and OSS of the future and then enable innovative AI companies to develop applications that would plug in to this, creating a platform for them to sell into our industry and add value to our service provider members
Thursday, April 12, 2018 from 9:00am to Friday, April 13, 2018 from 4:00pm
Artificial Intelligence systems are being developed and deployed to address a wide range of business and technical challenges, with intensive research and development helping to drive rapid progress and adoption. Companies investing in developing these solutions to efficiently address the needs of CSPs will need standards in place for guidance on how these systems will interact. The requirement to customize and maintain individual solutions for individual CSPs could be a major barrier for many AI companies addressing this market, so they may decide to focus on addressing other application areas such as Fintech or medical applications, which could offer an easier path to revenue generation.
These two action days are open to all to explore the possibility of AI in telecoms and determine a roadmap of challenges.
Day 1 Building the Plan:
Day 2 Testing the Plan:
Location: San Ramon (AT&T)AT&T5001 Executive PkwySan RamonCA 94583USA.View map
Instead of mathematical deduction of a problem statement, one need to leverage neutral networks, which are a set of algorithms, modeled loosely after the human brain (the way biological nervous systems work), that are designed to recognize patterns.
Neural networks like people, learn by example. They cannot be programmed to perform a specific task.
Neural networks, have ability to derive meaning from complicated or imprecise data, can be used to extract patterns and detect trends that are too complex to be noticed by either humans or other computer techniques.