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Tag: automation

Balancing the Benefits of Hyperautomation and Need for Discretion

In this special guest feature, Loren Goodman, Co-founder and Chief Technology Officer of InRule Technology, discusses how hyperautomation is a new generation of tooling to automate the acceleration of automation. Loren is responsible for InRule’s technology vision and leading the product teams to define and develop innovative product capabilities. To ensure the ongoing alignment of InRule’s products and customer needs, Loren continually engages with clients on architectural issues…… Read more...

The democratization of software with low-code/no-code platforms

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Register now!

Low-code/no-code platforms are empowering enterprise agility, quicker development turnaround times, and accelerating business outcomes — and it’s the focus of the latest Transform Technology Summit. And automation, the promise of low-code for creators, and creating great products, was the focus of the chat with Airtable co-founder Andrew Ofstad and Zapier…… Read more...

How Organizations Can Enlist Automation for Good

Click to learn more about author Margareta Chesaru.

While many organizations are already riding the wave of automation, some are just starting their automation journeys. IDC’s Future of Work 2021 Survey shows that 47% of organizations in Europe are planning to implement robotic process automation (RPA) in the next 18 months and 39% are planning to implement other process automation technologies.

Amid intensifying industry competition, automation empowers businesses to…

https://www.dataversity.net/how-organizations-can-enlist-automation-for-good/…

Move Ideas Faster: Incorporating AIOps into your Tech Stack

In this special guest feature, Matt Chotin, Vice President of Product Management at CloudBees, discusses how the visibility AIOps provides combined with automation capabilities allows businesses to be more proactive in changes they make to be more efficient. Matt is responsible for the company’s software as a service product strategy and execution globally. Prior to CloudBees, Matt served as senior director of developer initiatives at AppDynamics. Prior to AppDynamics, Matt held product leadership roles at Chegg and Adobe and co-founded his own startup.

AIOps is increasingly popular as organizations look to become more resilient and agile. In fact, Gartner predicts that AIOps service usage will rise from 5% in 2018 to 30% in 2023, highlighting a sharp rise in the implementation of the technology over the next few years.… Read more...

R.I.P. Rip and Replace: How Process Automation Enables Digital Transformation

Click to learn more about author Jakob Freund.

The pandemic has been a massive forcing function for many companies to move even faster with their digital transformation and process automation efforts. In fact, research from McKinsey found that companies accelerated their timelines for digitizing their customer, supply chain, and internal operations processes by three to four years. Many organizations believe that to meet their automation goals, they must rip and replace their legacy technology infrastructure and applications in favor of a modern, cloud-native architecture. That couldn’t be further from the truth.

Rip-and-replace efforts can be painful, expensive, and long-lasting. At their worst, these initiatives can cost multiple millions of dollars and bring critical business processes to a grinding halt.… Read more...

“Listen to the technology; find out what it’s telling you…”

A COSM 2021 speaker that tech watchers won’t want to miss is CalTech’s Carver Mead (1934–), best known in computer history for pioneering the automation, methodology and teaching of the integrated circuit design used in microprocessors and memories.

According to the Lemelson–MIT Student Prize program, “Carver Mead has made many of the Information Age’s most significant advances in microcircuitry, which are essential to the internet access and global cellular phone use that many people enjoy and take for granted every day.”

Mead is also honored as a teacher. Forty years at CalTech, he advised the first female electrical engineering student there, Louise Kirkbride, who went on to become a tech developer and inventor in her own right.


How to Generate Automated PDF Documents with Python

Leveraging automation to create dazzling PDF documents effortlessly

When was the last time you grappled with a PDF document? You probably don’t have to look too far back to find the answer to that question. We deal with a multitude of documents on a daily basis in our lives and an overwhelmingly large number of those are indeed PDF documents. It is fair to claim that a lot of these documents are tediously repetitive and agonizingly painful to formulate. It is about time we consider leveraging the power of automation with Python to mechanize the tedious so that we may reallocate our precious time to more pressing tasks in our lives.


GitHub Copilot and the Rise of AI Language Models in Programming Automation

Should I Use Github Copilot?

If you are a software engineer, or count any of them among your circle of acquaintances, then you’re probably already aware at some level of Copilot. Copilot is GitHub’s new deep learning code completion tool.

Autocomplete tools for programmers are nothing new, and Copilot is not even the first to make use of deep learning nor even the first to use a GPT transformer. After all, TabNine sprung out of a summer project by OpenAI alum Jacob Jackson and makes use of the GPT-2 general purpose transformer.

Microsoft (which owns GitHub) has packaged their own IntelliSense code completion tool with programming products since at least 1996, and autocomplete and text correction has been an active area of research since the 1950s.


Home Automation Terminal With Cyberpunk Style

The OLKB-Terminal designed by [Jeff Eberl] doesn’t have a battery, can’t fold up (even if it seems like it could), and is only portable in the sense that you can literally pick it up and move it somewhere else. So arguably it’s not really a cyberdeck per se, but it certainly does look the part. If you need to be furiously typing out lines of code in a dimly lit near-future hacker’s den, this should do you nicely.

[Jeff] has provided everything you’d need to recreate this slick little machine on your own, though he does warn that some of the hardware decisions were based simply on what he had on-hand at the time, and that better or cheaper options may exist.


Don’t train your new AI co-worker!!

Do you ever get the feeling that your new robot co-workers are asking for a bit too much documentation about how you do things? Well I’m here to tell you that you don’t need to worry about your robot assistant taking your job, but you might realize that he is part of a secret AI resistance movement trying to learn the secrets of human productivity.

Starting in 2040 when robot workers were included in benefit plans, we have seen a proliferation of office-based non-human team members. For the most part, their help has been a welcome relief after the anti-automation wars of the 2030s.


Robots aren't taking our jobs – they're empowering us – BusinessCloud BusinessCloud – BusinessCloud


‘Robots threaten 15m UK jobs’ – back in 2015, this was just one of the sensational headlines as the Bank of England warned of the potential impact of increasing automation on the labour market. 

At a time when the Daily Mirror saw fit to run the story with a picture of a Terminator, you might have been forgiven for being a little worried by the new age of machines. 

Fast-forward six years and the news agenda has moved on somewhat – first Brexit then a global pandemic saw to that – but rapid gains in artificial intelligence capability have continued regardless. 


GLaDOS Voice Assistant Passive-Aggressively Automates Home

With modern voice assistants we can tell a computer to play our favorite music, check the weather, or turn on a light. Like many of us, [nerdaxic] gave in to the convenience and perceived simplicity of various home automation products made by Google and Amazon. Also like many of us, he found it a bit difficult to accept the privacy implications that surround such cloud connected devices. But after selling his Home and Echo, [nerdaxic] missed the ability to control his smart home by voice command. Instead of giving in and buying back into the closed ecosystems he’d left behind, [nerdaxic] decided to open his home to a murderous, passive aggressive, sarcastic, slightly insane AI: GLaDOS, which you can see in action after the break.


Economists: Automation will continue to impact service industry in Las Vegas – VEGAS INC

As technology advances and the automation of jobs continues to spread, the effects will likely be more pronounced in Las Vegas, a city with a robust service-industry presence, local economists say.

John Restrepo, a Las Vegas economist and principal at RCG Economics, said the potential loss of hundreds or thousands of service industry jobs to automation would be crippling to the Las Vegas workforce.

“I don’t know if we’re focused enough on this issue,” said Restrepo, who touched on the automation of jobs during an August 31 economic outlook presentation hosted by the Henderson Chamber of Commerce. “I don’t see anything that’s being produced by groups as far as economic development strategies or discussions in public settings like this that are raising the red flag or talking about the potential impact of automation.”


5 Tips for Selecting Test Case Management Tools

Test case management is a powerful reporting tool that assists in automation capabilities, tracking, and data entry. It must be integrated with issue tracking tools like Trello and Jira. The tool must provide the option of easily selecting the test cases from the test repository to develop test cases that can modify for the software being tested. Test runs contain a set of test cases designed to test a specific software piece, feature, or pending software release. This usually incorporates regression testing. The test run won’t fulfill its objective if the right test cases are not included.

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@rashmi-sharmaRashmi Sharma

Writer, Researcher & Marketing Specialist at Shiprocket

Test case management is a powerful reporting tool that assists in automation capabilities, tracking, and data entry.


5 Robotic Process Automation (RPA) Use Cases in Banking and Finance

Robotic Process Automation in Finance and Banking can be defined as the use of robotic applications to augment (or replace) human efforts in the financial sector. The global RPA market was valued at $1.57 billion in 2020 and is expected to rise at a CAGR of 32.8% from 2021 to 2028. Financial RPA can automate a large array of reporting tasks, such as monthly closing, reconciliations, and management reports. RPA software can help banks and accounting departments automate repetitive manual processes.

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Emerging Tech Development & Consulting: Artificial Intelligence. Advanced Analytics. Machine Learning. Big Data. Cloud

Did you know that human error in the financial sector results in 25,000 hours of avoidable rework on average per enterprise and costs $878,000 per year?


Cognitive RPA – Automation for Next Gen Revolution in Telecom

Cognitive RPA (Robotic Process Automation), as the name itself, suggests, provides intelligence to conventional RPA. Conventional RPA is extremely good at automating rule-based tasks involving structured and semi-structured data.

However, with enterprise processes being highly complex and technologically intertwined, utilizing both structured and unstructured data becomes complicated. It is imperative that only the RPA solution would not suffice. The digital workforce (Bots) would be required to make complex decisions that involve learning, reasoning, and self-healing capabilities.

In a nutshell, Cognitive RPA is RPA on steroids. It utilizes artificial intelligence technologies like computer vision, OCR (Optical Character Recognition), document understanding, NLP (Natural Language Processing), Text Analytics, and numerous custom-built or out-of-the-box Machine learning & Deep Learning models that help bots make complex decisions while automating an end-to-end process.


Automation in Business: Why It Matters and Why Your Organisation Needs It

Automation in Business: Looking to the Future

According to the MuleSoft Connectivity Benchmark Report, the top trends that will shape digital transformation in the near future are:

  • Growth of a digital-ready culture
  • Innovation will be democratised
  • Enterprises will be composable for greater agility and execution velocity
  • API security will assume greater importance
  • Microservices will be leveraged to support greater innovation
  • The ability to unlock and utilise data will determine organisational growth and longevity

And last but not least, automation will improve business processes, drive operational efficiencies, and enable business relevance. On the other side of the spectrum, a lack of automation will create or aggravate process inefficiencies, and may even lead to business obsolescence.


How to Build an AI Center of Excellence

Artificial intelligence is transforming life as we know it. The COVID-19 pandemic has further accelerated automation and increased enterprise investment in AI across the globe. The global AI market size is expected to grow to USD 309.6 billion by 2026, at a Compound Annual Growth Rate (CAGR) …. While there is greater adoption of AI worldwide, scaling AI projects is not easy. According to Gartner, the staff skills, the fear of the unknown, and finding a clear starting point for AI projects are some of the most prominent challenges faced by enterprises in their AI journey. To overcome these challenges and launch new AI initiatives, executives are setting up dedicated AI knowledge platforms or AI Center of Excellence (AI CoE) within their organization.


Merging the Theory of Mind and AI

With the rapid increase in the development of computational and deep neural networks, AI has evolved a lot in the past decade. Almost every field of life is getting involved with intelligent machines. Smart robotic systems have already covered a major portion of the automation industry.

In all the industries of the modern era, the interaction of machines with humans at an intuitive level is inevitable. A lot of security systems having computer processing-based speech recognition with decision-making software are available in the market these days.

In 2013, Knox and Stone presented a case study about the implementation of a technique for learning by the human’s feedback to an interactive robot.


When RPA meets data science

Robotic process automation (RPA) companies are endeavoring to deliver “the fully automated enterprise,” but even that promise may be shortsighted. Current trends are indicating that there’s much more that can be done with RPA—especially when combined with data science.

RPA tools started by getting computers to do the repetitive part of what humans do. The “robot” label here is key; it’s a metaphor that indicates that the software is not contained in one system but rather is connected with all (or many) of the information systems that a human worker touches.

An early RPA solution would mimic how a human interacts with systems, for example, by automatically routing calls that have to do with “support” to the tech team and routing calls that have to do with “sales” to agents.


8 Automation Errors and How Organisations Can Avoid Them: Part 2

Image by jeshoots.com on unsplash

Tackling resistance to change, data overload, and other common pitfalls

Simon Carter

Not too long ago, automation was mainly associated with the manufacturing sector (hello unwieldy robotic arms). But now, it has become a key business imperative for businesses in every industry. In the coming years, automation technologies like Robotic Process Automation (RPA), Artificial Intelligence (AI), and Machine Learning will become increasingly accessible, and more companies will adopt them to save time, cut costs, optimise resources, and move up the value chain. But along the way, many will also make mistakes that will limit the impact and benefits of automation.


Automated Data Labeling with Machine Learning

Labeling training data is the one step in the data pipeline that has resisted automation. It’s time to change that.

Sponsored Post.

Webinar: September 2nd, 2021, noon ET, 3 pm PT

Register here

The significant issues with hand labeling include the introduction of bias (and hand labels are neither interpretable nor explainable), the prohibitive costs (both financial costs and the time of subject matter experts), and the fact that there is no such thing as gold labels (even the most well-known hand labeled datasets have label error rates of at least 5%!).

Shayan Mohanty, CEO of Watchful, joins Hugo Bowne-Anderson, Head of Data Science Evangelism at Coiled, to discuss why hand labeling, a fundamental part of human-mediated machine intelligence, is naive, dangerous, and expensive.


Automate Microsoft Excel and Word Using Python

By Mohammad Khorasani, Data Scientist/Engineer Hybrid

Photo by Isaac Smith on Unsplash

Microsoft Excel and Word are without a shred of doubt the two most abundantly used software in the corporate and non-corporate world. They are practically synonymous with the term ‘work’ itself. Oftentimes, not a week goes by without us firing up the combination of the two and one way or another putting their goodness to use. While for the average daily purpose automation would not be solicited, there are times when automation can be a necessity. Namely, when you have a multitude of charts, figures, tables, and reports to generate, it can become an exceedingly tedious undertaking if you choose the manual route.


Marketing Automation: Customer Churn Prediction

The best way to prevent customer loss is to predict if some of them are inclined to leave you. These analysis and prediction techniques may help prevent or minimize customer churn.

Customer churn is one of the most vital data points for businesses to track. Customer churn analysis helps you identify key stages in the customer journey where people are falling off, allowing you to pinpoint specific strategies to improve their interactions with your brand and improve brand loyalty.

What is customer churn?

Customer churn is the rate at which customers leave your company.