Friday, July 19, 2019
Business Intelligence and Analytics 26
1 4 Ways to Harness Business Intelligence for Smart, Data-Driven Decisions
https://www.ilounge.com/articles/4-ways-to-harness-business-intelligence-for-smart-data-driven-decisions
Data-led Business Intelligence is helping millions of businesses make better data-driven decisions. But it’s only being used by the few rather than the many. If you’re thinking about implementing Business Intelligence in future, what are the challenges you might face when choosing the ideal solution? Here’s what you need to know.
2 Four Challenges to Overcome for AI-Driven Customer Experience
https://sloanreview.mit.edu/article/four-challenges-to-overcome-for-ai-driven-customer-experience/
Are you ready to turn your company’s customer service over to AI-powered virtual agents? Whether your goals include creating a fully digital business, improving customer experience, or cutting costs, virtual agents and automation offer many benefits. But, as with any technology, making the switch isn’t trivial.
3 Comparing Model Evaluation Techniques Part 1: Statistical Tools & Tests
https://www.datasciencecentral.com/profiles/blogs/comparing-model-evaluation-techniques
Evaluating a model is just as important as creating the model in the first place. Even if you use the most statistically sound tools to create your model, the end result may not be what you expected. Which metric you use to test your model depends on the type of data you’re working with and your comfort level with statistics.
4 The Five Steps of Sustained Change
https://www.business2community.com/strategy/the-five-steps-of-sustained-change-02220183
There are five steps that are universal in sustaining change. Whether it is an organizational change or a personal change, if you want it to be sustained, or permanent, you must follow every step.
5 5 Social Media Marketing Tools for Teams That Won’t Break The Bank
https://www.socialmediatoday.com/news/5-social-media-marketing-tools-for-teams-that-wont-break-the-bank/558751/
Are you looking for social media marketing tools that’ll make your work easier and more effective? Want to improve collaboration between your team and see real results? At the same time, you probably want to achieve these at a low cost. Some tools are simply too costly for your social media budget.
6 Big Data, AI & IoT, Part Three: What’s Stopping Us?
https://www.forbes.com/sites/charlestowersclark/2019/02/22/big-data-ai-iot-part-three-whats-stopping-us/
The progress of AI, Big Data and IoT has been well-documented, but there are still major hurdles to cross before they achieve their full potential.
This series of articles has looked at the promise of Big Data, AI, and IoT, and how they all make up one ecosystem. So after looking at the benefits of these technologies in specific environments, it is worth a review of the obstacles faced before they will realize their full potential.
7 The Death of Big Data and the Emergence of the Multi-Cloud Era
https://www.kdnuggets.com/2019/07/death-big-data-multi-cloud-era.html
The Era of Big Data passed away on June 5, 2019, with the announcement of Tom Reilly’s upcoming resignation from Cloudera and subsequent market capitalization drop. Coupled with MapR’s recent announcement intending to shut down in late June, which will be dependent on whether MapR can find a buyer to continue operations, June of 2019 accentuated that the initial Era of Hadoop-driven Big Data has come to an end.
8 Evolution of the Role of Data Organization Methodologies in Software D
https://datafloq.com/read/evolution-data-organization-methodologies/6582
The software development industry is evolving with changes in big data. The need for programmers is growing, but this does not mean that all programmers will benefit. In the United States, software developers face growing challenges in finding work. The BLS estimates that the demand is going to decline by 7%between 2016 and 2026, due to outsourcing overseas.
9 The Role of AI in Data Security
https://datafloq.com/read/role-of-ai-data-security/6616
Artificial Intelligence (AI) is considered by many to be the present and future of the tech industry. Many industry leaders use AI for various applications to provide valuable services and prepare their businesses for the future.
10 Analyzing the future
http://mitsloanexperts.mit.edu/analyzing-the-future-thomas-davenport/
The rise of data analytics is one of the hallmarks of 21st-century business. By the turn of the century, companies had been accumulating data in various transaction systems for several decades, and many desired to analyze the data to make better decisions. Their interest intensified in the early 2000s as they saw the great success of online firms from Silicon Valley, many of which were highly analytical.
