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Artificial Intelligence

AI in the Context of Digital Transformation

In the enterprise, no buzzword is as buzzy as the term “digital transformation”. If you spend any amount of time reading whitepapers, analyst research, or attending webinars you’ll see the term digital transformation used in conjunction with a wide range of enterprise-focused technologies ranging from data centers to application development, to enterprise architecture and AI and blockchain.

What is Digital Transformation?

Many industry pundits and authorities like to talk about the subject of digital transformation, but the concept boils down to the key idea that technology, and in particular digital technology (computers, networks, data, embedded systems, and the like), lead companies to transform the way they work to take advantage of the more efficient and advanced ways of working.

Aloha Technology.

Read Original Article on https://ctovision.com/ai-in-the-context-of-digital-transformation/

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Does Synthetic Data Hold The Secret To Artificial Intelligence?

Could synthetic data be the solution to rapidly train artificial intelligence (AI) algorithms? There are advantages and disadvantages to synthetic data;

What is synthetic data?

When a computer artificially manufactures data rather than measures and collects it from real-world situations it’s called synthetic data.

Advantages of synthetic data

Huge data sets are what powers deep learning machines and artificial intelligence algorithms that are expected to help solve very challenging issues. Creating synthetic data is more efficient and cost-effective than collecting real-world data in many cases.

Disadvantages of synthetic data

Even if synthetic data is really good, it is still a replica of specific properties of a real data set. A model looks for trends to replicate, so some of the random behaviors might be missed.

Aloha Technology Helps Global Companies Race to the Top With Artificial Intelligence and Machine Learning

Read Original Article on https://www.forbes.com/sites/b

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Robotic Process Automation: A Gateway Drug to AI and Digital Transformation

Robotic process automation (RPA)—typically used to automate structured, back office digital process tasks—turns out to be the opening gambit in many organizations’ digital transformation strategies. It also appears to be a precursor to artificial intelligence (AI). In a recent research project on priorities in process and performance management, APQC, a business research institute, found that RPA was a nucleus of 69 percent of digital strategies. In another survey on investments in process automation, anticipated RPA projects were right behind analytics and data management, and almost twice as likely as near-term investments in AI or intelligent automation. Only 12 percent of those APQC surveyed had no plans to invest in any of these technologies in 2018.

APQC also found that the number of RPA projects per organization doubled from 2017 to 2018. The average number of projects per organization was 8.6 in 2017 rising to 14.9 in 2018.

In a separate project, one of the authors (Davenport

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AI & Machine learning – Redefining Support Service

This past week, a number of you might have performed some normal, day-to-day activities via mobile phones like ordering food online, booking a cab, and reserving seats for a movie or book a table at a restaurant. Amazingly, less than a decade ago, the majority of these tasks might have needed us to get to know many different people - nowadays, each one of these and many more behavior can be accomplished without having human contact. These kinds of is the effect of enterprise applications and Artificial Intelligence ( AI ) and Machine Learning ( ML).

Slowly, nearly all the brands that we talk with every day are building us correspond with machines and bots for basic functions, grievance redressal, and assistance such as Aloha Technology. Customer support is an important foundation of most businesses. Artificial Intelligence ( AI ) and Machine Learning ( ML ) are producing this pillar a lot more precise, quick, cost-efficient and far more smart than ever before.

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The Rise of AI & Machine Learning in the Transport & Logistics Market

Faster digitization is enforcing enterprises to improve their operations. Businesses want to become much more agile and also efficient. Tasks that might once need days to be carried out are now being carried out in minutes. Because of superior enterprise technology, business strategies are highlighted quick results in lower rates.

The development of Artificial Intelligence and Machine Learning possess set the pulleys of evolutionary automation processes in motion. Outsourcing services suppliers like Aloha Technology are producing new strides in the growth of this kind of technologies in helping business operations.

Read More on: https://www.pr5-articles.com/Articles-of-2018/rise-ai-machine-learning-transport-logistics-market

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3TECH Summit | Converging The Technologies

The 3TECH Summit brings together global leading experts in Artificial Intelligence, Blockchain and Internet of Things to challenge them on how these 3TECHnologies will converge in the future. Organized by AEBICON Group, this is the first event of its kind and is due to be held on 15th October 2018 in Dubai.The United Arab Emirates is a leading country with the most technologically advanced agenda and the 3TECH Summit aims to incorporate high-level debates, panel discussions and technical sessions while uniting world tech leaders and creating a unique platform for discussions about the future.

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Concerns Related to the Cost of Integrating AI

While a major benefit of using AI in business is the ability of the technology to automate a host of mundane tasks, a major drawback of the same is the cost of integrating AI technology. As compared to standard apps which have the best of latest features, a mobile app with AI is comparatively costlier.

Not only this, companies would also have to implement upgrades on a frequent basis to keep up with the changing policies, business requirements, and trends. This will further increase the cost of having a mobile app.

Apart from the cost, the time spent on developing an AI app is an important concern too. A mobile app development company is required to put in way more efforts when building an AI app as compared to a non-AI app. With the hyper-competition that is spread across every business sector, time is everything. A business cannot wait for several months just to launch their mobile app.

Read More-->https://www.minds.com/HokuApps1/blog/5-challenges-in-implementing-ai-in-mobile-apps

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Big Data and Robotics

The last few months have witnessed a rise in the attention given to Artificial Intelligence (AI) and robotics. The fact is that robots have already become a part of the society; in fact, it is now an integral part. Talking about big data, it is definitely a buzz word today. The future of AI has been transformed considerably after it has been clubbed with new developments in the technological world like big data.

Enterprises worldwide generate huge amount of data. The data doesn’t have a specified format. It could be both structured and unstructured. Years back the data generated used to get wasted as there was no analytics performed on it. But now with the advent of big data, data is processed and analysis is performed on most of the data that is generated. Analysts make sure they are able to derive meaningful patterns, trends, and associations that simplify business decisions.

Big data is such a big deal these days that even small and mid-scale companies after looking at all the big

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Everything you need to know about Artificial intelligence

Artificial intelligence contains various technologies like natural language processing, quarrying, deep learning etc that can be implemented in many applications. It is not new in itself. Artificial Intelligence is extremely useful in common sense tasks. It will do the job. Artificial Intelligence (AI) is the newest catchword in the area of technology nowadays. With the growth of technology, it is changing the way people interact in their daily lives, including in the workplace.

Intelligent machines will certainly be in a position to work for extended hours. They may not be the right choice for customer service. For instance, a general AI machine should have the ability to play any board game with equal ease, though a narrow AI machine will play only 1 board game with good efficiency.

The information ought to be good and extremely accurate so the predictions can be accurate. Such information enables the managers to comprehend the expertise and the understanding of the candidates, fac

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Artificial Intelligence Market offers huge growth opportunities for the future

The latest trending report published by Crystal Market Research titled, Artificial Intelligence Market approximates that the Artificial Intelligence Market size is estimated to flourish at a significant CAGR in the future, and this is attributed to the escalation in need for this product across the globe along with novel innovations in the market.

Report Overview: The Artificial Intelligence Market was worth USD 0.23 billion in the year of 2012 and is expected to reach approximately USD 28.75 billion by 2022, while registering itself at a compound annual growth rate (CAGR) of 62.20% during the forecast period.

Get Sample Copy of the Report here @ https://www.crystalmarketresearch.com/report-sample/IC11334

Impressive enhancements in business prospects of AI deployment and enhancements in powerful artificial intelligence arrangements are driving the business development.

The Artificial Intelligence sector is sectioned by center advancements into Natural Language Processing (NLP), Ma

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