Author: Kartik Patel

Elon Musk recently announced the introduction of an artificial intelligence (AI) product to compete with the OpenAI ChatGPT product suite. This product, named Grok, is currently available in beta version only, and is in limited release to a select number of users in the United States. 

As we await the full release of the Grok product, it may be worth considering its potential impact on the market and the features that Musk believes will distinguish Grok from its main competitor. 

When you embark on an analytics deployment, you want to be sure that you get what you need. To achieve the results you want, you must start at the beginning with planning. Understand how and when your organization will use the solution, and assuming you are planning to employ a self-serve augmented analytics solution, be sure that the software and services you choose will address your user needs and the analytical needs of your team and your organization. 

‘When considering a self-serve augmented analytics solution, there are numerous factors to include in your assessment.’ 

If you want to encourage and enable continuous improvement within your enterprise, analytics can go a long way toward helping you achieve your goal. When you provide access to augmented analytics solutions for your business users, you distribute knowledge and engender fact-based decision making, helping your users to accurately complete tasks and plan for future success. 

McKinsey recently surveyed 2000 businesses and found that 83% of high-tech/media/telecom, 76% of banking, and more than 50%  of consumer companies identified as continuous improvement organizations. There is good reason for these results. Continuous improvement improves results! And, as McKinsey reports, continuous improvement companies seek to eliminate costs and to empower employees to improve efficiency and growth of product and service innovation. 

In assessing the enterprise landscape and planning for a digital transformation (Dx) transition project, every organization will certainly focus on technology and infrastructure. Technology is, after all, inherent in the very nature of a Dx discussion. Infuture Institute recently published a study that describes the critical factors in a digital transformation (Dx), and one of the most provocative insights states that, "What we need is…the change of attitude in the approach to digital transformation — from a technological approach to the humanistic approach (human over technology, not technology over human), i.e., focus on the employees within the organization and the needs and expectations of customers and consumers."

Business managers might disagree with that conclusion, believing that if we plan appropriately for technology changes and upgrades, we will logically support the needs of the team and customers and stakeholders. But that belief is flawed. The very technology and infrastructure you are planning will be used and leveraged by people (business users, customers, suppliers, and so on). People use technology to achieve goals, monitor results, process requests, collaborate and more. 

If your business is focused on data-driven, fact-based decisions, your business users may be leveraging an analytics solution to gather, find and analyze data. Business goals include improving results and productivity and getting the best results out of your data, as well as gaining meaningful insight into data. But, you certainly want to accomplish all those goals without frustrating business users or forcing them to adopt tools that do not add value to their day-to-day workflow and tasks. 

When a business sets goals and establishes metrics to determine the value of an analytical solution and a business user analytics initiative within the enterprise, the management team often fails to focus on the more subtle but powerful concept of efficacy. Just how effective is the search process and, equally important, the results produced by that search. I suppose a user can quickly and easily ask a question without having to find and choose columns or fields. In that case, they can avoid the time and complexity of putting together an effective search and the frustration of receiving results that do not fit their requirements. 

Suppose you are trying to decide whether to use native mobile application development or a hybrid mobile application development approach for your project. In that case, there are numerous considerations, and you will, of course, have to look closely at your business requirements. 

This article focuses on just two of the crucial differences between native and hybrid mobile application development and may help get your discussions started.