5 ways you could be using AI at work right now

Artificial intelligence is gaining momentum in the consumer landscape. Digital assistants, chatbots and every other kind of artificially intelligent service …

Artificial intelligence is gaining momentum in the consumer landscape. Digital assistants, chatbots and every other kind of artificially intelligent service are taking up significant column space in the tech and business press. While AI has been around for years, adoption has boomed in recent times. It’s not a matter of if but when your competitors will achieve a strong advantage by introducing bots to streamline customer service, take some pressure off help desk or optimise HR processes.

According to Gartner, “Global business value derived from artificial intelligence is projected to total US$1.2 trillion in 2018, an increase of 70 per cent from 2017.”

If you are not embracing AI, your organisation could be in big trouble in the future. Even Facebook are worried, announcing in July 2018 that it would dramatically increase investment in AI research and development to ensure that it doesn’t fall behind as a technology innovator.

The opportunities to leverage AI in your organisation are many, but where to start?

Here are five ideas to consider:

  1. Give everyone a digital assistant. As CEO, you may have people to help manage your schedule, book appointments and make sure deadlines are met to enable you to spend more time on profitable activity. What if your teams had a similar facility to book meetings around difficult schedules, reserve resources, book transport and remind them of upcoming due dates? A bot can do all this and more with minimal set-up. What better way to improve the value each employee can deliver to the business, and simultaneously show people that their time is valued? Best of all, this assistant doesn’t get a pay cheque or holidays and never calls in sick.
  2. Improve collaboration and engagement with your digital workplace. After a huge investment in time and money it can be frustrating when employees do not adopt their Digital Workplace as quickly as expected. A digital workplace bot can help people find what they are looking for without searching through sections and menus, and can even suggest content. This bot can connect people with particular skills or experience, and locate relevant documentation such as previous sales proposals or contracts to assist with new projects and minimise rework.
  3. Give IT a break. We have all had a moment where we have forgotten how to complete a certain process and are either too embarrassed to ask IT (they have already told us how to do it twice) or simply don’t have time to wait for overloaded Helpdesk to get to us. Enter the Helpdesk Bot. Recognising “How do I” searches, this bot will take the user through a process step by step, freeing IT and ensuring the quickest resolution for the user.
  4. Make HR processes less painful for everyone. HR forms are generally unavoidable for booking leave, requesting equipment or submitting new ideas, not to mention time spent trawling through policies to work out what is and isn’t allowed. A bot, with access to the relevant information and systems, could assist staff to complete forms via a Q&A format, and add value by validating content and clarifying requirements, saving the HR team from a trying back-and-forth. “Book holidays for the first week in December” is easier than having to look up the dates. The bot can then ensure the required leave is available, then log the request, calendar the dates and automatically set up out of office replies.
  5. Welcome new starters. Onboarding employees is often done poorly, giving a bad first impression and wasting IT, HR and the new starter’s time. Introducing AI to the process ensures a consistent experience, conserving resources, and guiding the inductee through a series of introductory topics to provide information in manageable chunks. It can also ensure reliable completion of legal requirements such as safety briefings or acceptance of conditions. Employees who participate in a structured onboarding program are 69 per cent more likely to stay with an organisation for three years.

In the right hands, technology such as Microsoft Azure AI services can get you on the AI journey quickly. It’s worth investigating how AI can help your business… before it helps your competitors.

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Glia raises $20 million to unify voice, video, and chatbots

Today the company announced that it has raised $20 million in series B funding led by Insight Venture Partners, with participation from current …

Multimodality is fast becoming the norm in the $350 billion customer service industry. According to research published last year by Vonage company NewVoiceMedia, three-quarters of customers prefer to have their queries handled by a live agent, while the remaining 25 percent favor chatbots and other self-service alternatives. A separate survey by Econsultancy found that 51 percent prefer live chat for the freedom it affords. And, according to Zendesk, over 80 percent report that they’ve had questions satisfactorily answered via voice, email, and text messaging.

Glia (formerly SaleMove), a New York startup cofounded by Justin DiPietro, Carlos Paniagua, and now-CEO Dan Michaeli in 2012, aims to capitalize on the trend with an omnichannel customer service platform that supports text, phone calls, video chat, and more. Today the company announced that it has raised $20 million in series B funding led by Insight Venture Partners, with participation from current investors Tola Capital, Wildcat Capital Management, Grassy Creek, and Entrepreneurs Roundtable Accelerator, bringing its total raised to $29 million.

It’s been an eventful year for Glia, according to Michaeli. In 2018, the company saw annual recurring revenue grow 100 percent year-over-year across its customer base of financial services companies, and its workforce doubled globally. The funding, he says, will be used to expand Glia’s geographic footprint, particularly in product development, sales, marketing, and infrastructure.

“Almost every interaction between businesses and customers today involves a screen, yet the main method of getting in touch is still an old-school phone call,” he added. “Over the next three to five years, the move from ‘phone-first’ to ‘digital-first’ communication will define the businesses that win customer experience in their category.”

Glia

Glia matches customers with support staff by marrying video with messaging and voice. Michaeli claims its chatbot framework — AI Mangement Platform — is a key differentiator; it integrates and tracks bots powered by IBM’s Watson, Amazon’s Lex, Google’s Dialogflow, and other natural dialogue backends, which managers can divvy up into teams.

Customers who opt for human help can participate via Glia in live video sessions in which reps provide guided product tours and answer questions verbally or via text. Niftily, folks who dial in are assigned a unique ID that Glia uses to intelligently route them to the person they last spoke with.

No matter which medium customers choose in Glia, its CoBrowsing tool enables agents to walk people through apps and websites with a virtual mouse cursor. Michaeli claims that this option (in tandem with the rest of Glia’s suite) has delivered some of its clients 20 percent faster issue reduction, a 4 times increase in application throughput, and an 18 percent reduction in average handle time.

“We are proud to partner with Glia to transform how businesses connect with customers,” said Insight Venture Partners’ Lonne Jaffe, who plans to join Glia’s board of directors. “Glia’s innovative technology includes an elegant blend of … video chat and voice communications and a machine learning-powered chatbot chassis that works across [platforms]. Glia is one of the shining stars of the New York City technology ecosystem, and we’re excited to get the chance to provide the team with the capital and scaling support needed to continue their rapid growth in 2019 and beyond.”

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Chatbots Market Segmentation, Application, Trends, Opportunity & Forecast 2019 to 2023

PUNE, INDIA, March 12, 2019 /EINPresswire.com/ –. Chatbots Industry 2019. Description:- This report analyzes the chatbots market by type (software …

WiseGuyReports.Com Publish a New Market Research Report On –“ Chatbots Market Segmentation, Application, Trends, Opportunity & Forecast 2019 to 2023”.

PUNE, INDIA, March 12, 2019 /EINPresswire.com/ —

Chatbots Industry 2019

Description:-

This report analyzes the chatbots market by type (software and services), deployment (cloud and on premise), usage (websites, social media and mobile platform), industry verticals (BFSI, retail, e-commerce, government, travel and hospitality); it also studies the top manufacturers in the market.

The chatbots market is projected to reach USD 6 billion by 2023, at a CAGR of 37% during the forecast period 2017 – 2023.

The major players in chatbots market include:

• Facebook, Inc. (U.S.)

• WeChat (China)

• Artificial Solutions (Sweden)

• IBM (U.S.)

• Naunce Communications Inc. (U.S.)

• Egain Corporation (U.S.)

• Creative Virtual Pvt. Ltd. (U.K.)

• NEXT IT Corp. (U.S.)

• CX Company (Netherlands)

• Speaktoit Inc. (U.S.)

• 24/7 Customer Inc. (U.S.)

• Codebaby (Idavatars), Inc. (U.S.)

• DigitalGenius (U.K.)

• Howdy (U.S.)

• Talla (U.S.)

• Semantic Machines (U.S.)

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For more information or any query mail at sales@wiseguyreports.com

The market revenue and share have been analyzed with respect to the following regions and countries:

Americas

North America

U.S.

Canada

Europe

U.K.

France

Germany

Italy

Rest of Europe

Asia-Pacific

China

Japan

India

Rest of Asia Pacific

Middle East & Africa

On the basis of type, the chatbots market has been categorized into the following segments:

• Software

• Services

On the basis of deployment, the chatbots market has been categorized into the following segments:

• Cloud

• On Premise

On the basis of usage, the chatbots market has been categorized into the following segments:

• Websites

• Social Media

• Mobile Platform

On the basis of industry verticals, the chatbots market has been categorized into the following segments:

• BFSI

• Retail

• e-commerce

• Government

• Travel

• Hospitality

…….

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Table Of Contents – Major Key Points

1 Market Introduction

1.1 Introduction

1.2 Scope Of Study

1.2.1 Research Objective

1.2.2 Assumptions

1.2.3 Limitations

1.3 Market Structure

2 Research Methodology

2.1 Research Type

2.2 Primary Research

2.3 Secondary Research

2.4 Forecast Model

2.4.1 Market Data Collection, Analysis & Forecast

2.4.2 Market Size Estimation

3 Market Dynamics

3.1 Introduction

3.2 Market Drivers

3.3 Market Challenges

3.4 Market Opportunities

3.5 Market Restraints

4 Executive Summary

5. Market Factor Analysis

5.1 Porter’s Five Forces Analysis

5.2 Supply Chain Analysis

6 Chatbots Market, By Segments

6.1 Introduction

6.2 Market Statistics

6.2.1 By Type

6.2.1.1 Software

6.2.1.2 Services

6.2.2 By Deployment

6.2.2.1 Cloud

6.2.2.2 On Premise

6.2.3 By Usage

6.2.3.1 Websites

6.2.3.2 Mobile Platform

6.2.3.3 Social Media

6.2.4 By Industry Verticals

6.2.4.1 Bfsi

6.2.4.2 Retail And E-Commerce

6.2.4.3 Government

6.2.4.4 Travel And Hospitality

6.2.5 By Region

6.2.5.1 North America

6.2.5.2 Europe

6.2.5.3 Asia-Pacific

6.2.4.4 Rest Of The World

7 Competitive Analysis

7.1 Market Share Analysis

7.2 Company Profiles

7.2.1 Facebook, Inc. (U.S.)

7.2.2 Wechat (China)

7.2.3 Ibm (U.S.)

7.2.4 Naunce Communications Inc. (U.S.)

7.2.5 Egain Corporation (U.S.)

7.2.6 Creative Virtual Pvt. Ltd. (U.K.)

7.2.7 Next It Corp. (U.S.)

7.2.8 Cx Company (Netherlands)

7.2.9 Speaktoit Inc. (U.S.)

7.2.10 24/7 Customer Inc. (U.S.)

7.2.11 Codebaby (Idavatars), Inc. (U.S.)

7.2.12 Digitalgenius (U.K.)

7.2.13 Howdy (U.S.)

7.2.14 Talla (U.S.)

7.2.15 Semantic Machines (U.S.)

7.2.16 Otherstable 1 Chatbots Market, By Type

Continued……

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These researchers created nanorobots to work inside human bodies

But, in a major surprise, a group of researchers has developed a whole army of nanorobots in a matter of weeks. They designed these machines with …

Also, despite being super small, the legs are very strong

“Each robot carries a body that’s 1,000 times thicker and weighs roughly 8,000 times more than each leg,” Marc Miskin, one of the researchers involved in the development of these bots, told Cosmos while highlighting the strength of the bots’ tiny legs.

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Rocket League’s Smartest Artificial Intelligence Bots Are Facing Off This Weekend

RLBot is a community of programmers who work to create high-level Rocket League bots using artificial intelligence. You’ll be amazed with the level of …

This weekend, the talented programmers in the RLBot community are pitting 24 of their best custom Rocket League bots against each other in a weekend-long tournament.

RLBot is a community of programmers who work to create high-level Rocket League bots using artificial intelligence. You’ll be amazed with the level of mechanical skill that these bots possess, some of which is highlighted in a trailer for this upcoming tournament. They’re able to hit advanced aerial shots, nasty redirects, and even incredibly smooth flicks totally autonomously without any input from players.

The RLBot community is incredibly cooperative and inviting to new members (check out their Discord server!), but this weekend is all about competition. On Saturday, March 9, the bots will compete with each other one-on-one to crown an RLBot champion live at twitch.tv/rlbotofficial. On Sunday, the bots will pair up to compete two versus two, which will emphasize the bots’ strategy and teamwork abilities. The stream begins at 1 PM (EST) on Saturday and 2 PM (EDT) on Sunday.

RLBot’s Wintertide tournament begins March 10RLBot.org

While the bots have incredibly high technical abilities, their strategy isn’t the greatest. Watching two bots try to cooperate is extremely entertaining because they behave rather unpredictably in a team environment. Impressive technical displays often devolve into a ball-chasing and teammate-bumping nightmare with twice the number of players on the field, but some impressive teamwork moments still manage to shine through. RLBot community members estimate that their bots would perform at a high-silver level in online competitive play, but are quick to point out that their bots are for offline-use only.

You’re likely familiar with Rocket League’s built-inAI teammates that drive in circles and manage to botch even the easiest goals. The bots created by the RLBot community are much more impressive than the best All-Star level bot, so they’re entering Psyonix’s own “All Star” in their tournament to prove it. Other competitors to watch out for are tournament favorites Self Driving Car and Botimus Prime.

The tournament also aims to raise money for charity by having viewers pledge donations to DirectRelief.org for every goal scored by their favorite bots, which you can contribute to here.

Finally, if you can’t tune into the stream this weekend at twitch.tv/rlbotofficial, you can check out highlights from the last major RLBot tournament here or follow RLBot on Twitter for more updates.

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