Varun Goswami, Global Head - New Products COE, Newgen Software

Varun is a software professional with in-depth knowledge and experience across the product lifecycle – design, development through launch and marketing and finally deployment and delivery. He also has a deep understanding of business process management, robotic process automation, content services and customer communication platforms. Having led a team of 20 product managers and, before this, a 100 strong delivery team, He also discovered his passion for developing people and creating effective teams – something He enjoyed as much as developing cutting-edge products!

 

According to Gartner, “organizations are advancing their timelines on digital business initiatives and moving rapidly to the cloud in an effort to modernize environments, improve system reliability, support hybrid work models and address other new realities compelled by the pandemic.”1

As a business leader, you must prepare your organization to lead the charge on tech-driven innovations. It will help build strategic ecosystems that can drive business outcomes. The power of hybrid cloud coupled with artificial intelligence (AI) will give your business digital insights, exceptional customer service, competitive advantage, and differentiation in a digital future.

Per BCG, “a global survey of more than 3,000 executives revealed that more than half of respondents are deploying AI and six out of ten have an AI strategy in 2020, up from four out of ten in 2018.”2

Reshape Your Business with Artificial Intelligence

To create business value, you must deploy AI technologies that deliver specific, measurable business outcomes for targeted use cases. Furthermore, AI ensures consistent employee performance by eliminating guesswork associated with decision-making and enables faster, data-driven decisions.

 Below are a few AI-based technologies that can help transform your processes:

  • Document classifier

It can allow your businesses to gain hidden insights by intelligently classifying documents based on structural features, textual features, or both using deep learning algorithms and the neural network approach. It offers a language-agnostic technique and can help you eliminate manual classification, separation, and sequencing of documents in a bundle

  • Data extraction tool

Data extraction uses AI and machine learning (ML), powered by computer vision techniques and rule-based capabilities to locate, extract, and redact entities from identity documents per your business requirement. It works effectively on a variety of mobile captured and scanned images

  • Text analytics

Text analytics is a natural language processing and deep learning-based narrative analyzer that discovers parameters, such as context, keywords, intent, sentiment, emotion, and entities from documents. It can also identify customer communications across channels, including social media platforms, chats, customer platforms, and more. With ready-to-use machine learning models, it reduces support staff and manual tasks significantly

  • Cognitive training platform

A wizard-based, low code cognitive training platform can enable your users to conduct end-to-end labeling and training of AI- and ML-powered analytics models. It has a single platform to train different types of models and provides faster training than procedural programming

  • Process insights

Process insights can enable your users to deep dive into process performance by analyzing historical data and creating real-world business scenarios. It is a simulation and analytics tool that allows users to test their designed processes under various workload scenarios and optimize them accordingly. It improves decision making by identifying bottlenecks and taking pre-emptive actions by uncovering business risks

But, why is hybrid cloud crucial to deploy AI-enabled solutions?

Reduce Breaches with Hybrid Cloud!

AI solutions require specialized hardware and heavy resources for the initial training. Setting up these resources on-premises, in your own data center, can turn out to be too expensive in the long term. On the other hand, resources are available on the public cloud, but security concerns still exist  over sending confidential data on the cloud.

This is where hybrid cloud comes to the rescue!

Hybrid cloud offers the benefits of both public and private clouds and allows applications to interoperate across boundaries and even between modern and digital architectures. It provides a consistent operational experience for orchestrating workloads and portability between clouds seamlessly. 

AI technologies usually have dynamic or frequently changing workloads. Hybrid cloud allows you to move to the cloud incrementally at your convenience. It can help figure out what works best for your organization so that you  are able to integrate a part of yourworkload on a public cloud and the rest on a small-scale private cloud.

Hybrid cloud is integral to deploying AI in your operations and by deploying the right combination, you can boost efficiency, improve flexibility, accelerate processes, and enable self-optimizing operations.

To Conclude

In today’s fast-paced environment, your productivity should not be compromised. AI recognizes patterns in data and performs human-like tasks to ensure optimal usage of time and resources. With hybrid cloud, you can tap the advantages of both public and private cloud and get the best of both worlds. The combined power of AI and hybrid cloud will help you achieve operational excellence while ensuring data security and keep you ahead of the curve!

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