INFORMATION TECHNOLOGY SERVICES


Artificial Intelligence is our future. But will it save or destroy humanity?

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If tech experts are to be believed, artificial intelligence (AI) has the potential to transform the world. Artificial intelligence is software built to learn or problem solve -- processes typically performed in the human brain. Neither Musk nor Hawking believe that developers should avoid the development of AI, but they agree that government regulation should ensure the tech does not go rogue. However, Shostak doesn't believe sophisticated AI will end up enslaving the human race -- instead, he predicts, humans will simply become immaterial to these hyper-intelligent machines.


When AI (Artificial Intelligence) Goes Wrong...

@machinelearnbot

Many automated systems perform poorly, to the point that you are wondering if AI is an abbreviation for Artificial Innumeracy. Critical systems - automated piloting, running a power plant - usually do well with AI and automation, as considerable testing is done before deploying these systems. But for many mundane tasks, such as spam detection, chatbots, spell checking, detecting duplicate or fake accounts on social networks, detecting fake reviews or hate speech in social networks, search engine technology (Google) or AI-based advertising, a lot of progress must be made. For instance, if advertising dollars are misused by some poorly designed AI system (assuming the advertising budget is fixed) the negative impact on the business is limited.


Domino habits for data science

@machinelearnbot

Inculcating discipline [Understanding business justification] – Explore and document'why' your data is there? What are the technical systems / business processes that generated this data? So go on bring out the learning, machine learning, deep learning packages and enjoy.. Inculcating discipline [Understanding business justification] – Explore and document'why' your data is there? So go on bring out the learning, machine learning, deep learning packages and enjoy..


Digital Marketing Trends for 2017 - Smart Insights Digital Marketing Advice

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Machine learning techniques apply across many of the techniques we discuss in this post including Big Data, Marketing Automation, Organic Search and Social media marketing. In our Digital Channel Essentials Toolkits within our members' area and our Digital Marketing Skills report we simplify digital marketing down to just 8 key techniques which are essential for businesses to manage today AND for individual marketers to develop skills. As defined in our question, Big Data marketing applications include market and customer insight and predictive analytics. Our social media research statistics summary shows continued growth in social media usage overall, but with reduced popularity of some social networks in some countries.


IBM Digital Commerce

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FactorDaily 629,287 views The Next Big Thing S3 • E9 Connected cars make money for automakers in a new way (Next Big Thing) - Duration: 4:20. IBM Watson Customer Engagement 17,581 views IBM Digital Commerce - Duration: 1:55. IBM Watson Customer Engagement 477 views IBM Blockchain Car Lease Demo - Duration: 3:01. The Next Big Thing S3 • E9 Connected cars make money for automakers in a new way (Next Big Thing) - Duration: 4:20.


How to create a talking Watson chatbot by separating the content from the conversation

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ThirdEye Data 1,088 views Watson Made Simple with Tanmay-E1: Building Pizza Chatbot with Watson Conversation (iOS&Twilio) - Duration: 1:07:56. Carlos Santana 732 views IBM Watson: Implementing a Facebook Messenger Chatbot, Powered by Watson Conversation, using ngrok - Duration: 20:10. Watson Made Simple with Tanmay-E1: Building Pizza Chatbot with Watson Conversation (iOS&Twilio) - Duration: 1:07:56. IBM Watson, Twilio & Node.JS: Making a Twilio Chatbot powered by Watson Conversation-Icecream Sundae - Duration: 32:55.


Complex made simple – with Watson Supply Chain

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Dr. Eric Berg DC 4,508,201 views Quantum computing explained with a deck of cards Dario Gil, IBM Research - Duration: 16:35. IBM Watson Customer Engagement 939 views IBM Watson Customer Engagement and the Power of Cognitive - Duration: 1:40. IBM Watson Customer Engagement 3,286 views How to create a talking Watson chatbot by separating the content from the conversation - Duration: 3:27. IBM Watson Customer Engagement 520 views IBM Watson Sandbox - create objects in VR using voice commands - Duration: 1:00.


Experiential Commerce with Soccer com

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Sachin Lulla 2 views How Old World Industries accelerated processes and expanded business without increasing staff - Duration: 3:34. Sachin Lulla 93 views Metrie provides a stable, scalable & flexible integration platform w IBM Sterling B2B Integrator - Duration: 4:17. How Old World Industries accelerated processes and expanded business without increasing staff - Duration: 3:34. Metrie provides a stable, scalable & flexible integration platform w IBM Sterling B2B Integrator - Duration: 4:17.


Experiential Commerce with Soccer com

#artificialintelligence

Sachin Lulla 9 views How Old World Industries accelerated processes and expanded business without increasing staff - Duration: 3:34. Sachin Lulla 93 views Metrie provides a stable, scalable & flexible integration platform w IBM Sterling B2B Integrator - Duration: 4:17. How Old World Industries accelerated processes and expanded business without increasing staff - Duration: 3:34. Metrie provides a stable, scalable & flexible integration platform w IBM Sterling B2B Integrator - Duration: 4:17.


The 6 types of artificial intelligence 7wData

#artificialintelligence

Wow – lots and lots and lot of uses for Machine Learning, once the machine has figured out how to do the recognition – the "training". Initial training is hard work, both for the humans who prepare the training data and the computer that's trying to create the models from the training data. If we give a machine learning system a goal and lot of power, it might come to the unfortunate decision that humans get in the way of achieving its goals, and that if it could get rid of those humans, it would reach its goal faster. There is the inference part - the part that takes in the data and figures out what's going on.