Consider Your Business Needs Before Choosing GenAI

Is GenAI Right For Your Business?

You don’t have to be in the technology business to know about Generative AI (GenAI). The buzz about this technology advancement is everywhere! The media is talking about its impact, governments are discussing regulation, and technology companies are looking for ways to integrate GenAI into existing products and to create new products that will excite consumers, and improve productivity, results and revenue.

The renowned technology research firm, Gartner states that, ‘Organizations that develop the ability to combine the right AI techniques are uniquely positioned to build AI systems that have better accuracy, transparency and performance, while also reducing costs and need for data.’

In this environment, it is easy to see how executive teams might be considering the use of GenAI capabilities, and it is likely that these executives are hearing about the advancements at conferences, reading about it industry journals and responding to inquiries from the board of directors and other stakeholders.

IT professionals, managers and advisors are scrambling to decide whether and how to incorporate GenAI into strategies, how much to invest and when to make the jump.

Ignore the GenAI Hype and Consider Your Business Needs

Before you commit to GenAI, consider the following questions:

What is your business need?

Create business use cases so you have a specific idea of the problem you want to solve, or the gap you want to fill. Then look at the capabilities of GenAI, and determine whether this solution can address your needs with reliable results, adequate security and privacy, avoidance of risk, industry or regulatory standards compliance, cybersecurity concerns, business process improvement, etc. What specific value does GenAI add, versus a) status quo, b) other technologies, c) a combination of other artificial intelligence (AI) approaches? As you work through this process, provide a ranking for the GenAI solution to determine the value of GenAI in meeting the needs of the business use case(s).

Is GenAI the sole solution, or should you consider a combination of approaches?

If GenAI does not provide comprehensive coverage for your use case(s), you may wish to consider other approaches, i.e., causal AI, non-generative machine learning (ML), knowledge graphs, etc., or your business might benefit from combining GenAI with other AI approaches. For example, you might combine GenAI with search optimization, rules-based systems for natural language generation and chatbots, with simulation, with non-generative ML to classify and segment data, or with graphs. Combining techniques can reduce costs, while delivering appropriate performance, efficiency and accuracy.

It is easy to get caught up in the GenAI hype and, while GenAI holds a lot of promise, and is improving every day, it may not be right for your business today. Avoid the hype and take a careful look at your business needs. This approach will help you choose the right solution at the right time, and avoid costly missteps. Where it makes sense to leverage the capabilities of GenAI, you should also look at how much coverage this technology can provide. Is GenAI the sole solution that is right for your needs, or should you consider combining technologies to reduce cost and improve outcomes?

While GenAI has many benefits, it is rarely a one-size-fits-all scenario. Base your decision on what best suits your requirements and your use cases and include a periodic review of AI capabilities in your strategy, so that you can stay abreast of advancements and developments in the market and adapt your approach as necessary.

If you wish to engage expert software development and AI Consulting Services, contact us today. You can achieve a competitive advantage by combining AI solutions and predictive analytics to meet your business needs, improve customer satisfaction, productivity and business agility.

Original Post : Consider Your Business Needs Before Choosing GenAI!

Low-Code, No-Code Development Platforms: Understand the Benefits, the Challenges, and How to Hire LCNC Programmers

What is Low-Code, No-Code Development? How Can It Support My Business Application and Software Product Development Needs?

Introduction

 

When a business undertakes a new software project, it may do so to create a product for consumers, or for business users, or it may do so to upgrade an existing solution. Whatever the established goal for that mobile app, web app or software solution, it is important to understand the rapidly advancing state of technology, and to consider the foundation for your business or consumer solution. Building on outdated or inflexible technologies is a recipe for failure. But when an organization sets out to plan its approach, the choices and options can be daunting. Will you design your tools and features for smart phones, tablets, laptops or desktops, or perhaps for all of those devices? Once you have made the decision about user access, you will have to decide on a development approach. And THOSE options can be overwhelming. Still, if your business has done any research on the subject of software and application technology, you are well aware of the opportunities inherent in the technology market, and your business will want to leverage those opportunities to generate revenue, extend market reach and customer visibility and enhance enterprise growth.

Attention Web Agencies: App Development Partner Can Help!

Take Your Web Agency to the Top with a Development Partner!

Web Agencies spend a lot of time focusing on the presentation and functionality of online business presence. You put a lot of effort into visualizing and conceptualizing ways to create a more attractive online presence, with seamless applications, aesthetic designs, and a satisfying experience for your client businesses. You strive to offer cutting-edge, innovative online reputation management and online engagement solutions for your customers.

Low-Code/No-Code Analytics Design Engenders Solution Agility!

Look for Analytics with Low-Code/No-Code Technology!

The advent of low-code, no-code app and software development has enabled rapid, innovative changes to all types of development projects and that new environment is evident in Modern Business Intelligence (BI) and Augmented Analytics products and solutions.

Case Study : Augmented Analytics Solution for Large Indian Construction and Infrastructure Company!

Augmented Analytics Solution for Large Indian Construction and Infrastructure Company

The Client is a prominent Indian construction and infrastructure company providing services in numerous sectors, including highway, rail, mining, energy, irrigation, and water supply. Known for their expertise in managing large-scale and complex projects, the Client has played a significant role in enhancing the India infrastructure and has achieved robust growth and financial stability. The Client is currently managing sixty two (62) projects and employs more than 5000 employees in numerous market sectors across India.

Ensure Start-up Success with Expert MVP and App Development!

Hire App Developers to Ensure Start-Up App Success!

As a start-up business, you understand the challenges of being an entrepreneur. Start-up businesses are typically short-staffed. Team members must play numerous roles, and days are long and filled with more tasks than the team can accomplish. Start-ups survive with great ideas, innovation and vision. But to achieve their goals, they must be able to execute on those visions.

Why Should Business Users WANT to be a Citizen Data Scientist?

Making the Case for Citizen Data Scientists!

When a business decides to undertake a data democratization initiative, improve data literacy and create a role for Citizen Data Scientists, the management team often assumes that business users will be eager to participate, and that assumption can cause these initiatives to fail.

Minimum Viable Products and Their Value

Minimum Viable Products Provide Metrics for Success

If you aren’t familiar with the term ‘Minimum Viable Product,’ here is a brief definition: A Minimum Viable Product or MVP is a version of a product that provides minimal features – just enough for customers to use and provide feedback on the product. That feedback is then incorporated into the final plan for the product, thereby allowing the creative team or software vendor to ensure user adoption and anticipate features and functionality the customers want now or may want in the future.

Hire Node.JS Programmers and Plan for Success!

Consider Node.JS Development for Your Software Solution!

If you are not a technology nerd, or an IT pro, you may not know what Node (or Node.JS) is and why it should matter to your organization. Node.JS is a renowned runtime environment built on the Chrome V8 JavaScript engine, to streamline the development of high-performance, scalable software applications. It is based on an event-driven, non-blocking I/O model that ensures the lightweight and efficient creation of a wide range of software applications.

Auto Insights: The Secret Weapon for Analytical Results

Auto Insights: Clear and Concise Analytics

Gartner predicts that ‘organizations that offer users access to a curated catalog of internal and external data will derive twice as much business value from analytics investments as those that do not.’ In order to make the most of the data that resides in all the corners of your enterprise, you must make sense of that data, and leverage it to create products and services, to compete in your market of choice and refine your workflow and tasks to improve productivity and agility.

The key to making the most of your data is analytics, and the ability to gather and analyze data and produce results that are intuitive and clear. Machine learning has evolved to support the average business user with tools and techniques that make it easier to gather and analyze data using simple techniques that are supported by analytical techniques, without requiring business users to have data science skills.

‘Auto Insights analytics allows business users to select the dataset to be analyzed, and let the system do the rest.’

Today’s business users expect to have access to software solutions and techniques that are easy to understand and navigate. As consumers, they have the world at their fingertips, with simple techniques that require little to no technical knowledge. If your enterprise plans to adopt augmented analytics tools and business intelligence techniques, it must provide simple tools that are easy enough for the average business users to incorporate into workflow and tasks. This approach will help the organization achieve its analytical goals while ensuring an appropriate return on investment (ROI) and decreasing Total Cost of Ownership (TCO). It can also encourage and enable Citizen Data Scientist initiatives and improve data literacy.

Business Users Can Leverage Auto Insights to Easily Analyze Data

The Auto Insights approach to analytics provides a foundation of Assisted Predictive Modeling and easy-to-use tools, making it simple enough for every business user to adopt as an important tool in the team toolkit, and supporting the path from business user to Citizen Data Scientist, with tools that encourage data literacy.

Auto Insights frees business users and reduces the time and skills required to produce accurate, clear results, quickly and dependably, using machine learning that frees the business user to collect and analyze data with the guided assistance of a ‘smart’ solution.

Auto Insights allows business users to select the dataset to be analyzed, and let the system do the rest. The tool will interpret the dataset, select important columns of data, analyze its type and variety and other parameters and then use intelligent machine learning to automatically apply the best algorithm and analytical technique and provide data insight so the user can easily see and understand the results.

The Auto Insights concept is applied to data repositories to enable the enterprise and its business users to perform complex data analytics and share analysis across the organization in a self-serve, mobile environment, bringing the power of sophisticated, advanced analytics and smart data visualization to the members to automate and analyze, so enterprise users can quickly get the answers they need and move on to make confident decisions.

‘The key to making the most of your data is analytics, and the ability to gather, analyze and view data easily, and produce results that are intuitive and clear.’

If you are interested in finding out more about the advantages of the Smarten Auto Insights approach to Augmented Analytics and self-serve search analytics, Contact Us to explore how these techniques can help your enterprise apply analytics to achieve results. Let us help you realize your business goals and objectives with fact-based information.

Original Post : Auto Insights: The Secret Weapon for Analytical Results