This paper presents a set of reflections on saturation and the use of Large Language Models (LLMs) for performing Thematic Analysis (TA). The paper suggests that initial thematic saturation (ITS) could be used as a metric to assess part of the transactional validity of TA with LLM, focusing on the initial coding. The paper presents the initial coding of two datasets of different sizes, and it reflects on how the LLM reaches some form of analytical saturation during the coding. The procedure proposed in this work leads to the creation of two codebooks, one comprising the total cumulative initial codes and the other the total unique codes. The paper proposes a metric to synthetically measure ITS using a simple mathematical calculation employing the ratio between slopes of cumulative codes and unique codes. The paper contributes to the initial body of work exploring how to perform qualitative analysis with LLMs.

Whether you are a project manager or a product owner, a project management tool and some basic agile techniques will significantly help you manage your project or product. At the very least, these tools will give you, the management, and your team a better overview. In addition, the results can be a faster implementation, fewer queries, better time estimation and greater motivation. In the following article, I want to provide you some points that can help you improve your project management and the underlying user stories. Here, like the headline already suggests, I would recommend Jira -- the standard software for management purposes.

This article was published as a part of the Data Science Blogathon. Data is everywhere these days. Human beings have been sensing, processing, and utilizing it since their birth; now, it is perceptible to machines as well. The data volume has increased exponentially in the recent past (on to exabytes 10 6 x terabytes now!), combined together with the availability of a wide variety of data (e.g. This scale and complexity are beyond the natural capacity of humans to handle directly. Machine Learning (ML) is the domain that has come-up to the rescue, to meaningfully process abundant data.

Each year that goes by, there seems to be dozens of new technologies that are sold to us as'life-changing' or as something that will'save the world.' Some of these technologies you will never hear about, others will last, and one or two will actually do what they say. However, in 2018, when it seems like a new technology comes out every week, consumers are bound to have questions like "What is machine learning?" In the pursuit of helping answer these questions, we have put together ten of the most frequently asked questions that we receive. Our hope is to answer these for you, not just so you can stay up to date on new technologies, but potentially find opportunities to use these platforms for future success. Without further ado, let's jump into some FAQs.

Large-scale automation of business processes requires a new development approach. Across sectors, business processes are undergoing the most profound transformation since companies replaced paper files with electronic records. A new suite of technologies, including robotic process automation (RPA), smart workflows, and artificial-intelligence techniques such as machine learning, natural language tools, and cognitive agents, promises to radically improve efficiency while eliminating errors and reducing operational risk. Research by our colleagues at the McKinsey Global Institute suggests that, across industries, there is already the potential to automate more than 30 percent of the tasks that make up 60 percent of today's jobs. In finance and insurance, for example, workers spend more than half their time collecting and processing data, tasks that are eminently suitable for automation using techniques that are already available today. Many companies have identified significant opportunities to apply automation, and the results of pilot projects and technology demonstrators have been encouraging.

If you thought Nintendo opening the Switch to new indie games every quarter was a big shift for the company, wait'til you hear that it's getting into startups. The venerable video game corporation has partnered with Scrum Ventures to find companies tinkering with new ways to play with or use Nintendo's flagship console. Scrum will consider ideas for new Switch tools from startups, teams in larger companies or university researchers, Bloomberg reported. Then the early-stage venture capital firm will workshop concepts with teams before they pitch them to Nintendo this fall. Scrum will only consider hardware ideas, which in itself is a new frontier for a game company that has always relied on trusted, established suppliers.

I'm told that it has been 21 years since Scrum became public when Jeff Sutherland and I presented it at an Object-Oriented Programming, Systems, Languages & Applications (OOPSLA) workshop in Austin, TX, in October of 1995. I'm still in the same building and at the same company where I first formulated Scrum.[1] Initially nobody knew of Scrum, yet it is now an open source body of knowledge translated into more than 30 languages.[2] People use Scrum worldwide for developing software and other uses I never anticipated.[3] Scrum was born and initially used by Jeff and me to meet market demand at our respective companies.

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