Chatbots help customers to resolve their issues at a blazing speed but the one of the main questions is whether the business should opt for a rule-based bot or an AI- based bot. Chatbots are not new in the technological arena. They are a lot smarter now than their predecessors.
I’ll never forget my “aha” moment with bias in AI. I was working at IBM as the product owner for Watson Visual Recognition. We knew that the API wasn’t the best in class at returning “accurate” tags for images, and we needed to improve it. I was nervous about the
“With proliferation of digitized technologies, the public is becoming aware of data-collecting sensors & it’s concerns”
How to implement an anonymous data collection scheme that allows the manufacturer to anonymously collect data from its end devices without knowing exactly which device it came from? Yes, this is one of the challenges for the second Blockchain Hackathon (part of LongHash Cryptocon Vol2) in Berlin on May 18-19
How do we automate the Smart Machine Bidding procedure for the LPWAN devices in order to reduce the costs of an IoT network? Yes, this is one of the challenges for the second Blockchain Hackathon (part of LongHash Cryptocon Vol2) in Berlin on May 18-19 this year. More details here.
Perhaps even moreso than even big data or blockchain, AI is fast becoming the buzzword on everyone’s lips. Machine learning has been a promising field for years, but with the astonishing success of deep learning techniques, we’re rapidly being propelled into an automated future. But can AI withstand the hype?
IBM Watson IoT’s Chief Data Scientist Advocates For Ethical Deep Learning and Building The AI Humans Really Need
In terms of pioneering data-based technology, IBM are the gold standard. Indeed, IBM has held the record for receiving the most patents every year for the past 25 years and has developed countless revolutionary technologies, from SQL to the world’s fastest supercomputer. It should come as no surprise that IBM
It’s no news that unstructured data has been a highly sought after source since its inception, first for determining public topical insights and now for training machine learning algorithms. The critical question to answer is whether you should outsource the collection to overcome business challenges or not? Mike Madarasz explains
The success of data-driven projects has quite a few challenges and barriers. Here is a look at how you could overcome them by simply asking yourself three questions. Data has become probably the most valuable asset that companies could have nowadays. It can give you insights into your customers’ behaviour
It’s easier to get a job if you are an Artificial Intelligence (AI) or Machine Learning (ML) ‘expert’, and investors want to bet on companies which use the words AI or ML in their mission statements. And why should that not be the case? McKinsey estimates AI techniques have the
Preparations are well underway for the 2018 edition of Data Natives– the data driven conference of the future, hosted in Dataconomy’s hometown of Berlin. Data Natives brings together a global community of data-driven pioneers to explore the technologies that are shaping our world- from big data to blockchain, from AI