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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…


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) of 39.7%. 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…


Digital content is vogue.

Now, more than ever, people across the globe are consuming greater quantities of different kinds of media, including news, music, books, and films, via digital channels. The shift towards digital content is guided by many factors: online content is cheaper, more varied, readily available, supports on-demand access, and provides extreme customization, to name a few.

Underscoring the disparity between traditional and digital channels is the fact that, during the pandemic, the viewers of online TV surpassed those of broadcast TV among Gen-Z and Millennial users. In the same demographics, more listened to music streaming services instead…


Telecom Operators are exploring and investing in new cutting-edge technology to overcome the drawbacks of the traditional way of doing business. The traditional way of reconciliation of wholesale traffic is one such business scenario where settlement partners need to wait for the closure of the billing period to initiate the reconciliation to raise any dispute in case of any discrepancies. This delay in reconciliation leads to blockage of revenue for a longer period extending to 3 months to a year in some cases. …


Artificial Intelligence has been one of the prime technological themes of this century. Many businesses are increasingly becoming aware of its impact in today’s world. Thus, they are seriously considering AI adoption now more than ever.

While the COVID-19 pandemic may have affected many aspects of our lives and the way we do business, the research and development in the AI space remain unperturbed. Over the last five years, AI companies attracted nearly $40 billion in investment globally. The United States and China are currently leading the race with massive investments in AI research.

In this blog post, we will…


Challenges addressed by No Code AI platforms

An AI model building is challenging on three fundamental counts:

  1. Availability of relevant data in good quantity and quality: The less I rant about it, the better.
  2. Need for multiple skills: Building an effective and monetizable AI model is not just the realm of a data scientist alone. It needs data engineering skills and domain knowledge also.
  3. The constant evolution of the ecosystem in terms of new techniques, approaches, methodologies, and tools

There is no easy way out to address the first challenge, at least not so far. …


Having a data-driven Business Assurance (BA) process is an aspirational goal for many Business Assurance teams. This post is not going to be about the technology per se but will talk about what comes before and after technology: humans and our flaws.

Three Key Aspects of Business Assurance

Before delving into human-before-and-after-technology, let’s review three aspects of Business Assurance, which form the backstage onto which most of the Business Assurance activities unfold.

Since its inception, Revenue Assurance (RA) and, later, Business Assurance (which we’ll use interchangeably for the purpose of this article) was a borderline discipline in telco organizations. It…


To obtain the intended results in today’s market, organizations must incentivize, motivate, and include a KPI aspect in addition to the old, linear technique of creating a product and pushing it to sales. The market pull is often insufficient to create goal sales or revenue, mandating market push through a systematic campaign management system. In order to achieve higher revenues and increased customer retention, a more complex and agile campaign management approach is essential. This proves to be a challenge given the fast-moving and developing telecom market landscape. …


The GSM Association reveals that the 5G network will have more than 1.7 billion subscribers all around the world by 2025. The 5G network speed is 100 times faster than the 4G network. There is a need for effective planning for the 5G network as it reduces the time-to-market and maximizes the revenue potential with robust roll-out plans. Using 5G networks, we can easily control more devices, and allow data transfers at the benchmark speeds in real-time applications. However, 5G has the potential to offer much more than fast connectivity. …


Even though augmented analytics will be commonly available by 2022, only around a tenth of the population will use it. The average business user isn’t familiar with Advanced Data Discovery or Augmented Data Preparation procedures, and most companies don’t want their employees to waste their time trying to figure out how to negotiate the complexities of a manual data preparation techniques. Business users may quickly prepare data for analysis and acquire the insights they need to go forward and make choices if a company provides solid augmented analytics software features for self-serve business intelligence.

1. Augmented Data Preparation

Self-Serve Augmented…

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