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Santosh's Insights

The New Tech Empires

We have all witnessed the growth of technology ever since the early 20th century. The semiconductor revolutionized the electronic industry and its been a race ever since to fabricate the most sophisticated semiconductors and chips that now are an integral part of life. The last 20 years in this century has seen a complete transformation and conversion of science fiction in the 20th century, to reality. Among this was the use of data – collecting points of observation of any attribute deemed useful. Data, when connected, formed useful information and insights. And insights resulted in actions or development of ‘models’ to address a set of insightful or purposeful outcomes.

Curiously, machines have always been designed in my opinion, to mimic human output and make them better or make it work at a massive scale. The human being remains the most complex and intelligent machine on earth. Reaching a level where certain senses and cognitive abilities are far outperformed by machines is the current level of intelligence. Artificial Intelligence or AI, came out of our quest of machines ‘learning’ what humans could do. The result is that a significant part of the planet is touched by AI and its applications. From our smartphones, to our daily quest for information on search engines or our banks, our offices, our homes our lives and very soon perhaps, sensors within our bodies and brains.

The new tech and advances of the fundamental parts that went into the semiconductor chips have evolved into the current state of tech, which has resulted in new empires being created. Once again, these technologies tend to shrink this world further and bring advances, never before imagined.

Konsultera is a speck in this entire empire today. But our thoughts are to be a firm and prominent citizen in this empire and evolve with the maturity that befits a ‘learning’ organization. This quest has led us to constantly creating our own insights and content. Our team of both experienced and young members, provide us with gems of new information each day. The dialogue will continue to lead us to populating this column over time.

See you soon!

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AI Santosh's Insights

Hyperautomation & AI: Driving Digital Transformation Across Domains

In the previous decade, the growing role of AI in various fields has been seen and has become commonplace. As years pass by, the use of artificially intelligence-driven automation becomes more prevalent. That’s why the idea of hyperautomation came into being. It is a term introduced or coined in Gartner’s Strategic Technology Trends for 2020. Hyperautomation is simply automation’s expansion. It introduces added technology to automation, making the most of technology.

Delving Deeper into the Concept of Hyperautomation

Hyperautomation includes increased automated business processes enabled by artificial intelligence, robotic process automation, and machine learning. It is simply an infrastructure of upgraded and advanced technologies utilized in order to scale and enhance automation capabilities.

The prime aim of this concept is to improve efficiency in the organization, which in turn increases the productivity and quality of the output. The term ‘hyperautomation’ covers several defined areas of applications that include planning, organizing, execution, collection, processing, deployment, coordination, interaction, control, and analysis of information systems. The idea behind it is to enable organizations to make use of advanced technology in the best possible manner. This helps in maintaining competitiveness in the market while making sure that improvements are made to the organization to increase the productivity and quality of the output.

How Does AI-Driven Automation/Hyperautomation Assist Various Industries?

  • Legal Tech

AI and hyperautomation in legal tech have made legal support professionals a lot more productive, particularly in the areas of in-house and contract law firms. The term Legal Automation covers the development, implementation, and control of legal procedures, workflows, practices, and data mining, depending on pre-determined rules. Automation is a branch of software engineering, which aims to model, create, analyze, control, and implement legal software systems. 

Some legal automation methods include the incremental approach, which is a series of automated steps; the functional approach, which use logical processes and procedural templates; the domain-specific approach, which is based on the legal needs of each case; and the application-specific approach, which look into the needs of particular legal cases. In addition, automation can also be applied to legal research, case preparation, the process of proofreading legal documents, as well as the generation of associated legal documents. Additionally, it covers tasks that do not need human supervision, such as those related to data mining, workflow analysis, client/agent authentication, and document review.

  • Fintech

One of the largest industries focusing on automation trends in fintech is the financial industry, and it does show no sign of changing any time soon. Companies in the financial sector are constantly looking for new ways to automate their business models and streamline processes that have traditionally required a large team of personnel to complete. The automation trends in fintech are also taking advantage of advances in technology to create new opportunities for cost reduction, efficiency, and increased productivity.

As technology improves, software used by financial institutions to facilitate banking activities is becoming more sophisticated, requiring the integration of various different types of software programs and systems. In order to effectively handle complex and demanding financial transactions, the software used must be able to perform in a highly efficient manner. Software used to automate the process of bank automation requires advancements in both hardware and software technology. One such software program is known as the Intuitive Approach, which makes use of artificial intelligence technology to make the process of automating financial transactions much easier for financial institutions. Most products in the market nowadays are designed to help customers make better financial decisions. Hyperautomation trends in fintech allow users to enjoy significant cost savings as well as increased productivity.

Endnotes

Hyperautomation is about to take the whole world on the plunge. This technology will keep improving in the future, and it is up to business owners to embrace these changes and make their business more profitable. The goal of hyperautomation for large organizations is to use technology in a manner that helps them to optimize on-demand manufacturing processes using real-time technology that allows organizations to respond quickly and efficiently to customer demands.

That’s why we at Konsultera, along with our well-versed team of engineers, and developers are creating a full-fledged AI platform to cope with ever-evolving demands in various sectors, and operate ahead of time, effectively and efficiently. 

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Santosh's Insights

Our 4-D Framework for Data Ecosystems

In the world of data, nothing is more precious than the management and nurturing of all that is received and all knowledge that is gained from it. The pursuit of data has been an eternal quest for centuries and, in the recent decade, technology has fueled the democratization of data management at a scale that has never been seen before. The quantity and velocity of data and information that flows through our digitally enabled systems today are staggering. Every touchpoint an individual has with a device generates a whole set of data. Initially, there was a lot of focus on capturing and storing all data for the future. This is still true, but, in the evolving world, it is the intelligence derived out of that data, that is key. Data privacy laws will make it difficult over time to store personal information without informed consent, but there is along way for that to happen. Meanwhile, with velocity, comes expectation. Decisions need to be made with data available in the present, and not from detailed analysis of data from the past. In this context, there is a need for a framework that encompasses data in flow and data at rest.  

Konsultera’s founders bring experience from large data ecosystems that span several domains. In every domain, however, the need is exactly the same. Good, qualified, data and the ability to process this data at scale that can scale horizontally, However, it is still necessary to put in the basic principles in place, to ensure this large set of information can be managed and processed effectively. In a data ecosystem, there is no size limit to start and virtually no end. We can start small and expand as time and budgets permit. The recommendation Konsultera offers, regardless of the size, focuses on the outcome and the use-case and subsequent deployment of your data model to meet those outcomes. Choose technology as you see fit, but follow the principles that span technology. To this end, we designed a framework of the four D’s or, as we call it, the 4D Framework for the Data Ecosystem.  

The 4D framework is designed to help any organization organize data right from ingestion to governance, from discovery to product creation, from insight to deployment. Every organization with this framework, stands to gain with benefits accruing almost immediately post deployment.  

We introduce a concept called the Global ID (GID), which is a single link for each defined entity in the system. In a banking context,  we can assume Individuals, Companies, CASA accounts, Credit Accounts, Locations and several other such key nodes to be present with their own GIDs. Associated with each GID, is a set of attributes that define the characteristics of that entity. Each of the types of GIDs can be interconnected with ‘Relationships’ and these relationships could have their own attributes and so on. This creates a web of data, where data starts to make sense by defining relationships and each chain represents linkages, much like our own life and relationships. The interaction and the intelligence that we derive from such relationships start to make more and more sense over time. We start to get better insights and see it with greater depth than a single planar view that would otherwise define an entity and its attributes.  

The illustration above indicates how data, converged around a GID, can appear to be a constellation when visualized correctly. Again, to bring in the 4D framework and its relevance, the organization and governance of this data is the key to bringing insights to the business. A data ecosystem is meant to help grow and protect the business.  

Konsultera is spearheading a new form of thinking for the data and analytics business. Konsultera’s teams are in the process of continuously working with customers to build platforms that sustains and support technology-enabled digitization and subsequent use of data ecosystems enabled by AI to generate profitable business outcomes. 

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