Decision Management Solutions
MAY 7, 2019
Cathy O’Neill wrote an interesting piece on regulating automated decision making recently. I am not going to argue about whether use of algorithms should or should not be regulated because I think it is inevitable that they will be. The question is how companies should respond to these regulatory efforts as they are rolled out to ever more consumer-facing decisions.
Analytics Vidhya
MAY 7, 2019
Introduction I love descriptive statistics. Visualizing data and analyzing trends is one of the most exciting aspects of any data science project. But what. The post Extracting and Analyzing 1000 Basketball Games using Pandas and Chartify appeared first on Analytics Vidhya.
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Corinium
MAY 7, 2019
AI is often confused with automation, yet the two are fundamentally different. Dr Mark Nasila, FNB’s Chief Analytics Officer for Consumer Banking, explains the key difference is that AI mimics human intelligence decisions and actions, while automation focuses on streamlining repetitive, instructive tasks.
Smart Data Collective
MAY 7, 2019
We have published a number of glowing articles on the benefits of big data in the world of marketing. However, many of these tutorials focus on the general benefits of big data, rather than specific, data-driven marketing strategies. One of the ways that big data is transforming local marketing is by optimizing Google Reviews. We were pleased to hear from Michael Del Gigante, the CEO of MDG Advertising.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
DataRobot
MAY 7, 2019
As more and more companies rely on AI , people are questioning whether or not AI can be trusted. Business reputations are damaged when inscrutable black box AI systems make mistakes or make biased decisions. To avoid these issues, organizations are seeking out ways to apply best practices of AI governance to ensure that AIs are following business rules and making sensible and trustworthy decisions.
BizAcuity
MAY 7, 2019
Businesses in every industry are facing increasing demand volatility. Additionally, with rapidly evolving market conditions, it has become vital for businesses to stay prepared and anticipate the future. To cater to these fast-changing market dynamics, the practice of demand forecasting began. Today, several businesses, especially those belonging to the FMCG sector, have sophisticated demand forecasting models in place, which help them stay ahead of the market.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Jen Stirrup
MAY 7, 2019
Nearly three years ago, I complained bitterly about the demise of Windows Datamarket , which aimed to provide free, stock datasets for any and every purpose. I was a huge fan of the date dimension and the geography dimension, since they really helped me to get started with data warehousing. So I’m glad to say that the concept is back, revamped and rebuilt for the data scientists today.
DataRobot Blog
MAY 7, 2019
by Jen Underwood. Artificial intelligence (AI) and machine learning can deliver unprecedented value to the business. Unfortunately, fantastic findings often get lost in translation. From expressing metrics in unfamiliar terminology to presenting odd. Read More.
Andrew White
MAY 7, 2019
In this weeks US print edition of The Economist (May 4-10, 2019) there is a short and intriguing article. It is the Buttonwood article, titled “ The Eternal Quest to find Companies that have a lasting Competitive Edge.” The article very succinctly highlights how difficult it is for investors to pick winners; those firms in a market that will out compete others to create profits that lead to a higher share price.
IBM Big Data Hub
MAY 7, 2019
Learn how Capitalogix harnessed the IBM Integrated Analytics System (IAS) to find insights in their data.
Speaker: David Bard, Principal at VP Product Coaching
In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.
Jen Stirrup
MAY 7, 2019
Nearly three years ago, I complained bitterly about the demise of Windows Datamarket , which aimed to provide free, stock datasets for any and every purpose. I was a huge fan of the date dimension and the geography dimension, since they really helped me to get started with data warehousing. So I’m glad to say that the concept is back, revamped and rebuilt for the data scientists today.
Nutanix
MAY 7, 2019
We are excited to announce a rapid development environment for creating IoT and AI apps in the cloud, that can be easily deployed in the cloud or at the edge. The environment is designed to alleviate pressures faced by many enterprise organizations around cumbersome, generic cloud environments, creating complex AI models, and generating meaningful IoT data.
bridgei2i
MAY 7, 2019
The financial industry is undergoing a radical shift that’s being driven by mounting regulation and compliance pressures, changing business models, new competition from FinTechs, and disruptive technologies. Introducing innovative technologies such as Artificial Intelligence(AI) can help the financial sector to automate various processes, manage financial advisory services, and reduce the cost of various business expenses.
Nutanix
MAY 7, 2019
Many organizations are faced with digital transformation challenges especially when it comes to adopting new technologies. Internet of Things (IoT) and Artificial Intelligence (AI) are two concepts which will enable organizations to rethink traditional edge solutions and drive new revenue streams.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
bridgei2i
MAY 7, 2019
The digital revolution and the advent of AI technologies have unlocked a whole gamut of opportunities for enterprises, the most significant being in the area of customer experience. Interestingly the digital revolution itself is powered by consumer behavior on online channels and therefore tapping online data streams with data science and AI hold the key for enterprises investing in the transformation of customer experience.
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