The topic of chatbot ethics is complex and spans a wide area including privacy, data ownership, abuse and transparency. Rob High, CTO of IBM Watson was recently featured in an article on Forbes.com titled “Ethics And Artificial Intelligence With IBM Watson’s Rob High.” In the article, Rob talks about how in order to keep AI ethical, it needs to be transparent. Rob advises that when customers interact with a brand’s chatbot, for example, they need to know they are communicating with a machine and not an actual human. Ethics form the foundation of how a bot is built, and more importantly, they dictate how a bot interacts with users. How a bot behaves has the potential to influence how an organization can be perceived and unethical behavior can lead to consumer mistrust and litigation issues. Ethical bots can promote brand loyalty and help boost profit margins.
Data hygiene isn't easy. You can't hire enough interns to even come close to rectifying past mistakes. The reality is enterprises haven't been creating data dictionaries, meta data and clean information for years. Sure, this data hygiene effort may have improved a bit, but let's get real: Humans aren't up for the job and never have been. ZDNet's Andrew Brust put it succinctly: Humans aren't meticulous enough. And without clean data, a data scientist can't create algorithms or a model for analytics. Luckily, technology vendors have a magic elixir to sell you...again. The latest concept is to create an abstraction layer that can manage your data, bring analytics to the masses and use machine learning to make predictions and create business value. And the grand setup for this analytics nirvana is to use machine learning to do all the work that enterprises have neglected.
Getting the most out of machine learning or deep learning frameworks requires optimization of the configuration parameters that govern these systems. These are the tunable parameters that need to be set before any learning actually takes place. Finding the right configurations can provide many orders of magnitude improvements in accuracy, performance or efficiency. Yet, the majority of professors and students who use deep learning outside of computer science, where these techniques are developed, are often using one of three traditional, suboptimal methods to tune, or optimize, the configuration parameters of these systems. They may use manual search–trying to optimize high-dimensional problems by hand or intuition via trial-and-error; grid search–building an exhaustive set of possible parameters and testing each one individually at great cost
When you consider the characteristics of the blockchain in the area of claims, the far reaching effect of this innovation start to become clear. An important element of blockchain technology that is worth mentioning here is smart contracts. These are lines of code that contain rules and regulations for actions that need to be taken in the event of certain things occurring, as well as the mechanism for executing these actions. In essence, they are digital contracts that are unambiguous in their design and don’t need any human administrator to action. Therefore, instead of waiting days or weeks to settle a claim, the introduction of smart contracts could mean that claims are settled instantaneously and without the need for transmitting paper documents. Our own work with a major global insurer showed what improvements can be made. The personal injury insurance app we collaborated on allowed someone to buy an insurance policy and have it issued on the blockchain.
To meet the challenge of tomorrow head on, “we need the skills,” said Hammond. In a range of initiatives, he announced three million apprenticeships to start by 2020, the introduction of the much-anticipated T-levels and a further £20 million for FE colleges to help them to prepare for this. “Knowledge of maths is key in hi-tech, cutting edge jobs,” continued Hammond. To help entice more students into maths, the Budget will help extend maths initiatives to 3,000 school and commit 40 million to train math teachers across country. Computer science is also at heart of the impending revolution, and Hammond announced that every secondary school pupil can now take this, with his plan was to triple the number of trained computer science teachers to 12,000.
The upside is that it lets you move fast. It adds a certain amount of agility to an engineering organization. But it comes with its own set of challenges. And these were not very obvious back then. How are all these microservices deployed? How are they monitored? And, most importantly, how do they communicate with each other? The communication bit is where Kafka comes in. When you break a monolith, you break state. And you distribute that state across different machines that run all those different applications. So now the problem is, ‘well, how do these microservices share that state? How do they talk to each other?’ Frequently, the expectation is that things happens in real time. The context of microservices where streams or Kafka comes in is in the communication model for those microservices. I should just say that there isn't a one size fits all when it comes to communication patterns for microservices.
If we go through the definition of Artificial intelligence, it will be a type of intelligence that is displayed by Machines and Devices in contrast with the Natural Intelligence i.e. displayed by Humans or other Animals. In this process, Machines and Devices are programmed in such a way that makes them capable to learn and change reaction to environment depending upon the outer Environment and Situations. In early fifty’s People believed that Artificial Intelligence, AI is nothing other than imaginary Creation of the Hollywood. But with the extent of time, progress in the science and technology leads AI to come out of the virtual world. The term is Artificial Intelligence, also known as Machine Intelligence is first coined by John McCarthy for the Dartmouth Conference. From the First Discussion, this term looks catchy and occupied the mind of teach geeks and the Imagination of People ever since.
"Smart contracts can be used for simple things like non-disclosure agreement... rather than signing forms. A lot of internal processes can be contracted," Baraokar told the Times. "We do a lot of IT procurement, a lot of it can be implemented using blockchain." The blockchain-enabled Know Your Customer (KYC) will help banks verify a customer's identity, with document requests from the bank when opening a new account. This can reduce the human and financial costs of such verification. State Bank of India is also currently designing an innovation center in Navi Mumbai, which will research emerging technologies such as artificial intelligence (AI), machine learning, robotic process automation, and predictive analytics, and their potential use for making banking easier.
The boardrooms of the private mid-market firms that took part in the survey not only understand blockchain technology, but also see the real value in implementing it within their day to day operations. The survey found that 34% of respondents plan to use blockchain for storing and securing digital records, 24% said they will use it for executing smart contracts, and 19% said they will use it to exchange digital assets. ‘The shared-ledger technology known as blockchain is making business more efficient and transparent for companies of all sizes,’ writes the report. ‘If credit scores have long determined the terms of certain financial transactions, blockchain-based solutions will raise the stakes even more for reputation and digital identities by adding a higher level of trustworthiness to digital interactions.’
The global findings were released today and paint a concerning portrait for the progress to date, and future of digital transformation across the globe. The Digital Transformation Barometer data delves into digital transformation and digital literacy within leadership, as well as emerging and disruptive technologies across the globe within several industries. “With this research, ISACA’s global membership provides a digital transformation reality check that assesses actual technology adoption plans, levels of sentiment of support and concern, and monetary commitments to deploy emerging technology by geography and industry,” said ISACA CEO Matt Loeb, CGEIT, CAE. “The resounding message from our research is clear: senior leadership needs to invest in increasing its digital fluency. Organisations with digitally fluent leadership are more clearly recognising the benefits and risks of emerging technologies.”
Quote for the day:
"Leadership cannot just go along to get along. Leadership must meet the moral challenge of the day." -- Jesse Jackson