Technology, Future and Challenges

With increased digitalisation and the push which the technology adoption is getting to increase, do it yourself and do it wherever you are.

We had the wave in multiple sectors where processes were increasingly digitised to reduce the overall friction for the end customers, the same was deemed as a business enabler and growth engine. With the ensuing uncertainties the same is now considered as imperative for sustenance. This has further increased the pace of digitalisation.

We are seeing more deeply connected systems and usage of data and verification and validation services which are increasingly external.  The overall systems are increasingly using  cloud infrastructure , Open APIs ,  IOT , Data science/ML/AI etc. The same is used across applications for customers , internal users or business processes.

The opportunity lies in adoption of the new technology pillar for digital transformation (a few)

Some of the challenges are around complexity of design , agile development and faster go to market along with quality, automation of QA processes and foremost design with security at the centre.

Neeraj Garg Vice President - Engineering

People Who Joined AGL in the Month of September

We will come across a lot of new faces when we are back. Here is a list that will help you get acquainted with their names as of now:

We have won 2 awards at the e4m Impact Influencer Awards 2021
under the following categories:

  • New Swift 2021 launch
  • Maruti Suzuki Baleno- Song of the Night Campaign

The Star Performers for the month of August are:

Technology Bytes

What marketers need to know about robotic process automation

RPA bot can now embed ML components that can look at an email interaction or scan a document and extract unstructured information and convert that into structured data that can then be used downstream for customer sentiment or lead intent

#RoboticProcessAutomation #QuicklyEvolvingTechnology

Cognitive Computing vs. AI: 3 Key Differences and Why They Matter

Cognitive computing systems employ self-learning algorithms that depend on AI technologies such as data mining, visual recognition, speech recognition and NLP to find answers to complex problems

#CognitiveComputing #ArtificialIntelligence

Cybersecurity Mesh Plays a Significant Role in Businesses: Here’s How

A cybersecurity mesh, a decentralized concept that aims to protect the identity of the user or computer, is one of the strategies that are currently growing rapidly.

#CybersecurityMesh #SaferBusinesses

The Internet Of Behavior: Smarter Technology’s Next Frontier Is Our Human Experience

This creates more room to positively influence people’s experiences and an opportunity to further deliver smarter technology for all.

#InternetOfBehaviors #IOTAndIOB

Natural Language Processing: How This Technique Can Take Your Business to the Next Level

The output of an NLP model can vary depending on the desired results. For example, Amazon built Alexa to identify speech patterns and infer meaning or complete a task to assist the user.

#NaturalLanguageProcessing #SmarterProcessManagement

The Role of AI in Digital Therapeutics

Through a deeper understanding of patient actions and greater refinement of its processes, AI-powered digital therapeutics can help us deploy specific support strategies for each patient to navigate toward healthier outcomes.

#PredictiveMedicine #DigitalTherapeutics

AGL Cornerstone

Chinmay Singh Director-Program Management

From client meetings to workplace conversations, a buzzword that keeps making the rounds is 'Agile'.

In software engineering parlance, Agile can be expressed as an iterative, incremental approach to building software where each iteration produces a consumable version of software that is further enhanced in subsequent iterations. Agile focuses on making continuous improvements through customer collaboration, responding to changing requirements, and reducing the time to market.

The evolution of Agile could be attributed to the limitations of the traditional (waterfall) approach of software development, where all planning would be done upfront and any changes coming afterward would be difficult to accommodate owing to a monolithic construct. Teams would fight tooth and nail to avoid change.

But the change we avoid could be a business-critical requirement, a design flaw that might diminish the user experience, or an inefficiently written block of code that might break the application altogether!

Change is uncomfortable, but it's inevitable, and we should expect it. The power lies in the ability to pivot and adapt quickly. It's imperative we stay open to customer feedback and embrace changes, for every change carries with it the seed of an equal or greater opportunity - opportunity to add value and create customer delight!

Don’t ever forget it’s about the customer. When we fail to acknowledge their needs, we are no longer serving their best interest, and they are likely to go somewhere else - to somebody who is serving them.

Stay Agile!

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