5 Programming Languages Chatbot Developers Should Know About
Responsive and prompt customer service ensures the satisfaction of your website visitors or your mobile app users. They expect all their answers to be found in one place and don’t wish to navigate through a maze of links and menus. In the past, live agents at customer support centers have acted as the one-stop point of contact for companies and that largely remains true today. This service, however, is increasingly augmented by IVRS systems that divert the calls to a dedicated team of agents. Online live chat also provides the same services, but in a more cost-effective way as a single agent can simultaneously handle multiple incoming requests. Moreover further reduce costs, increase responsiveness, provide round-the-clock and multilingual services, companies are integrating AI-enabled chatbots with their websites and apps. Chatbots can: Operate 24/7 with very little overhead cost. Guide users to the immediate information they need Provide customer service from tracking
InsurTech Bounces Back With Fresh Bots and AI
After the COVID interruption, worldwide insurtech funding efforts bounced back in Q2 reaching over $1.5 billion as the market looks for more efficient use cases, while new market leaders like Lemonade continue to show the old guard how things should be done. When Lemonade launched in the US during 2015, it started a trend or shockwave that continues to be felt across the insurance market. Using apps and chatbots to deliver insurance created a lightweight firm that is hitting way above its weight, with some 320 employees and a $3.8 billion market valuation in July after its IPO. Since that launch and the growing number of other insurance disruptors, the already tech-savvy insurance market has doubled down on insurtech research and development, and investment in startups delivering new features and services. Check out CBIInsight’s latest report (sign-up required) for the latest market data. Such is the level of activity in
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
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