Chatbots, AI and Algorithms Need Careful Management, Or Else!
The world needs a good tech disaster from time to time, to remind us what value and reliance we have on digital systems. Chatbot builders and businesses tinkering with AI and algorithms can learn plenty from the UK government’s disastrous dalliance with its recent exam-balancing plan that upset the nation. Wherever you are in the world, it is likely that your government, utility providers, banks and services are relying increasingly on AI and algorithms to categorise you in a huge number of metrics. Judging if you are suitable for a loan, what property band your home falls into, how much your insurance premiums are, and so on. Many of these algorithms have been built up over decades, carefully tested and resilient to outlier cases that need a special investigation. Then, there are examples where someone needs a way to cast a large-scale judgment quickly, and things go wrong. British politicians
Help Your Business to Overcome the Chatbot Gap
As a business, when was your chatbot last updated, or when did you last consider adopting a bot? As a user, how many sites have you come across with a bot that felt like it was developed years ago and hasn’t been improved since? The conversational technology behind bots has come a long way in a few short years, so all businesses need to mind the chatbot gap. As with any technology, there was a lot of hype behind chatbots. Consequently, many businesses were disappointed when their first bots did little more than recite the company FAQ, tell people about opening hours, or spoon-feed a marketing script about the latest products. For many companies or their tech teams, the bot was launched and they moved on to the next task. For many customers, they tried the bot once and saw no reason to use it again. Potentially millions of those
Understanding and Meeting the Risks of AI Adoption
You wouldn’t install a network without a firewall, you wouldn’t let staff work remotely without a VPN and you really shouldn’t adopt AI tools without thinking of the risks and consequences. See what the latest research says your business should think about before bringing AI services to power the company. Chatbots, analytics tools, security apps, smart services and virtual assistants all use AI to some degree. Many businesses adopt them or build their own tools around them, without really considering what the risks are. We have lived with 99% uptime SLAs for years now, so what’s wrong with a 99% accurate AI when it comes to translation, offering advice or form processing? Quite a lot, it could transpire. Deloitte has been asking those thorny questions of enterprise executives when it comes to the company’s third annual AI adoption survey. The key messages are that: Adopters continue to have confidence in
6 Tips for Writing User-Friendly Chatbot Error Messages
There’s no denying that chatbots have ushered in a new age of online sales and interaction between brands and their customer bases. This is even truer in 2020, as customers around the globe have become fond of chatbots and don’t mind interacting with AI instead of agents. Whether you operate as an eCommerce platform or a SAAS company, however, errors are bound to happen when you least expect them to, especially in the ‘learning’ phase of the chatbot’s Natural Language Processing. Once that happens, it’s crucial that your chatbot can successfully respond to negative user experiences, complaints, purchase issues, or just simply being unable to understand the user’s intents. It’s good to devote some attention to error messages rather than automatically put up a ‘sorry I do not understand’ error message. That way your chatbots can avoid poor UX and public outcry. Let’s take a look at how you can
Innovation Managers Look to Chatbots and AI for Quick Wins
The role of innovation manager has taken on fresh importance as businesses seek to recover from COVID. Their fresh insights are backed by the use of AI and chatbot technology to help create new business value while improving processes and preparing for the future. Tasked with improving the ways companies work, innovation managers are at the forefront of driving change. Often through digital adoption, they help startups and SMBs grow, and improving the existing processes within larger organisations. In many cases, the innovation is focused on traditional areas that rarely change for companies, such as winning new customers, getting their product to a wider market or refining internal tasks to make the business fitter for the future Among the arsenal of the innovation manager, AI tools and chatbots are playing a rapidly growing role. Adding or improving AI and automation can help the company better understand itself, their customers, marketing
Sports Chatbots Looking for Their Own AGI Restarts as Events Get Going
Around the world, sports fans are being kept away from stadia, tracks and courses – socially distanced from their teams and idols. Chatbots were playing a key role in helping keep them in touch and engaged, but not all brands are doing enough and there’s a big gap between where sports bots need to be, with AGI likely to help get them over the line. Since the rise of the common chatbot, sports brands have been trying them out in various ways to draw in the massive audience. Progress has been picking up, and last November the NBA basketball league launched an AI chatbot, #NBAChat as part of the drive to engage more on social media. That was before COVID and the simple aim of using Facebook Messenger to deliver in-game highlights seemed like a natural progression from team bots selling tickets and merchandise. The NBAChat chatbot provided news updates,
Chatbots: A Key Tool for Digital Business Change and Continuity
The Coronavirus outbreak demonstrated how unprepared many businesses are for dramatic changes that impact the company and workers. Chatbots proved one of the digital stars of the outbreak, along with collaboration and meeting tools, helping companies keep their workers and customers up to date as part of continuity efforts. The next big business outage could stem from any number of scenarios; from a major hack wiping out your cloud services (as with the Maersk case, a long but scary read). To physical damage from a natural or structural event, disrupting transport networks, warehouses or local essential facilities. Whatever goes wrong, the ability to keep your customers informed is a key feature of business continuity plans. Something that every company will be updating as work and some normality is restored after the COVID virus. Chatbots have proved their worth among several technologies from video conferencing and collaboration tools to the digital
In-Demand Jobs During Covid-19
The world is in the midst of its worst health crisis since the Spanish influenza pandemic over a century ago. The implications of the Covid-19 epidemic to the global economy and the job market are simply staggering. In the US, a record number of people have filed for unemployment, and over 57 percent of people are worried about losing their jobs. With millions of companies worldwide going under as the pandemic destroys local economies, people are researching ways of boosting their employability and protect their financial future. For those that find themselves in this situation, we have put together a list of the jobs and career tracks in the tech sector with the best prospects now and after the pandemic. Artificial intelligence/machine learning engineer Artificial Intelligence (AI) is a technology that seeks to teach machines to think like humans. Part of AI, machine learning is a technique used to create
Botium Introduces NLP Analytics to Cover All Aspects of Conversational AI Performance Evaluation
Botium, a market leader company in chatbot testing and training, is thrilled to announce the launch of their NLP performance testing system called Botium Coach. The Austrian startup is dedicated to address the challenges of testing chatbots. Their new system is based on an open source testing tool, that the community terms as “Selenium for Chatbots”. Botium allows testers to easily automate the testing of chatbot conversations. Tests can be executed in seconds, and they are repeatable with every software update. On top of this, Botium provides an entire management toolbox with predefined test environments and test sets containing thousands of instantly runnable tests. With the introduction of Coach they have taken the step on covering all aspects when it comes to chatbot testing and training. Botium is the only company on the market who have been able to combine conversational testing and NLP analytics. Conversational testing enables users
Chatbot Stats and Growing AI Usage Makes Business Adoption Inevitable
The COVID crisis saw a huge rise in use cases and adoption of chatbots and AI, hammering home the benefits in crystal clear HD for businesses and governments working under pressure. As the restart gathers pace, adoption will continue as companies look to do more with less, and as the benefits of bots are more obvious. Writing about bots for the last few years has been a painful affair. Typically, a brand launched a bot with a modest fanfare, there would be a smattering of stories and the bot would never be heard from again. LEGO, eBay, British Airways and many more all launched bots that vanished into the digital ether. Worse, some organizations sneaked them out the side door as tests or trials. These vanished even faster because – funnily enough – people won’t use bots if they don’t know about them. Chatbots live in a funny hybrid state,
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