Analytics Vidhya
MARCH 25, 2020
Introduction “Efficiency is doing things right. Effectiveness is doing the right thing.” – Zig Zagler As data scientists, we are often taught to be. The post 10 Awesome Data Manipulation and Wrangling Hacks, Tips and Tricks appeared first on Analytics Vidhya.
O'Reilly on Data
MARCH 31, 2020
If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). You already know the game and how it is played: you’re the coordinator who ties everything together, from the developers and designers to the executives. You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door.
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David Menninger's Analyst Perspectives
MARCH 30, 2020
I was recently asked to identify key modern data architecture trends. Data architectures have changed significantly to accommodate larger volumes of data as well as new types of data such as streaming and unstructured data. Here are some of the trends I see continuing to impact data architectures.
Rocket-Powered Data Science
MARCH 10, 2020
In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. Hodler. I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. In their wisdom, the editors of the book decided that I wrote “too much” So, they correctly shortened my contribution by about half in the final published version of my Fo
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Corinium
MARCH 11, 2020
With customer expectations rising higher than ever before, it’s never been tougher for organisations to deliver outstanding experiences. To succeed, CCOs need a healthy dose of what Churchill called “corkscrew thinking”. Winston Churchill knew the value of unconventional ideas. He called it “corkscrew thinking”, and it became the secret weapon that saw the Allies through the lowest points of World War Two.
datapine
MARCH 25, 2020
Data, information, and insights are all around us. Before we even realize our business potentials and want to act in our competitive market, there is always a new business plan to make, a new strategy to develop, a new report to generate – and they all take time. Since massive amounts of data are generated by every second, businesses are always in the lookout for the best possible data analysis tool that will make their processes easier, faster, and more effective.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
O'Reilly on Data
MARCH 18, 2020
Last year, when we felt interest in artificial intelligence (AI) was approaching a fever pitch, we created a survey to ask about AI adoption. When we analyzed the results , we determined the AI space was in a state of rapid change, so we eagerly commissioned a follow-up survey to help find out where AI stands right now. The new survey, which ran for a few weeks in December 2019, generated an enthusiastic 1,388 responses.
David Menninger's Analyst Perspectives
MARCH 18, 2020
MicroStrategy recently held its annual user conference, which focused on the theme of the “Intelligent Enterprise.” HyperIntelligence, an innovative product for delivering analytics throughout organizations that they introduced a year ago, was the star of the event. The company announced enhancements to HyperIntelligence and the latest version of its flagship platform, MicroStrategy 2020, as well as a new two-tiered education and certification program.
Rocket-Powered Data Science
MARCH 10, 2020
50 years after the publication of Alvin Toffler ’s landmark book “ Future Shock “, a new book “ After Shock ” is here. This 540-page compendium collects over 100 modern-day perspectives on After Shock from leading futurists, including deep assessments of Toffler’s formidably prescient predictions from half a century ago, along with a status check on the current exponential growth (“shock”) in all sectors of the world economy, from the unique vantage poin
Corinium
MARCH 9, 2020
The rise of data and analytics in the insurance industry means the underwriting profession is changing fast. Not everyone is thrilled about the rise of AI in the insurance industry.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
BA Learnings
MARCH 26, 2020
Business cases are often required to justify the need to launch new products/services, initiate projects or invest funds on business initiatives. While some companies identify business benefits with the sole intention of getting business cases approved, more mature companies tend to devote their resources to tracking and measuring these business benefits after the projects have been concluded.
Analytics Vidhya
MARCH 18, 2020
TensorFlow 2.0 – a Major Update for the Deep Learning Community Just when I thought TensorFlow’s market share would be eaten by the emergence. The post TensorFlow 2.0 Tutorial for Deep Learning appeared first on Analytics Vidhya.
O'Reilly on Data
MARCH 19, 2020
O’Reilly online learning is a trove of information about the trends, topics, and issues tech leaders need to know about to do their jobs. We use it as a data source for our annual platform analysis , and we’re using it as the basis for this report, where we take a close look at the most-used and most-searched topics in machine learning (ML) and artificial intelligence (AI) on O’Reilly [1].
datapine
MARCH 18, 2020
“In Social Media, the “squeaky wheel” gets the oil. You have to put yourself out there, to find people who will relate or even debate with you, depending on what you are looking for.” – Jessica Northey. There are billions of social media users across the globe, most of which share their thoughts, feelings, opinions, and recommendations with friends and family.
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The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
KDnuggets
MARCH 23, 2020
We examine the growth of coronavirus daily cases in most affected countries, and show evidence that social distancing works in reducing the rate of spread. We also analyze KDnuggets Poll results - the scale of change to online and how Data Science work is likely to increase or drop in different regions. Stay Healthy and practice social distancing!
Corinium
MARCH 31, 2020
Aligning projects with business goals and expanding them in a structured way is vital when delivering AI-at-scale. Applying AI models at scale is one of the most cost-effective ways to drive ROI with the technology.
BA Learnings
MARCH 8, 2020
Most software development and process improvement projects involve introducing new ways of working as part of implementation. Creating a procedure document that users can follow thus becomes a key activity for business analysts that needs to be completed so that system users can perform their duties using the new system or process on day one. So, what exactly is a procedure and how is this different from a process?
Analytics Vidhya
MARCH 10, 2020
Starting your Deep Learning Career? Deep learning can be a complex and daunting field for newcomers. Concepts like hidden layers, convolutional neural networks, backpropagation. The post Getting into Deep Learning? Here are 5 Things you Should Absolutely Know appeared first on Analytics Vidhya.
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GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
IBM Big Data Hub
MARCH 20, 2020
We recognize that these are difficult times. In response to the worldwide pandemic, IBM will be extending the SPSS Statistics Subscription trial for active and new accounts through June 15. This will allow our users time to adjust to this dynamic and unprecedented situation.
datapine
MARCH 4, 2020
In our information-rich age, a business can accelerate its success by harnessing its organizational data in a way that is both efficient and value-driven. To squeeze every last drop of value from your data, both in an operational and strategic sense, it’s important to leverage the right online reporting tool. When it comes to reporting, the daily running of your business, the plans and methods you formulate to improve the organization will steer your long-term success.
KDnuggets
MARCH 9, 2020
Upgrading your machine learning, AI, and Data Science skills requires practice. To practice, you need to develop models with a large amount of data. Finding good datasets to work with can be challenging, so this article discusses more than 20 great datasets along with machine learning project ideas for you to tackle today.
Corinium
MARCH 23, 2020
Scaling AI capabilities across an entire organization is the best way to unleash the technology’s true potential to drive ROI. AI will add more than $13 trillion to the global economy over the next decade according to Harvard Business Review. Yet, the majority of organizations struggle to get the most out of their AI initiatives.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Data Science 101
MARCH 18, 2020
The big cloud providers are expanding globally by adding more Global Regions. Google recently announced a new mountain west region. Plus, all the other providers have plans to expand globally. This got me wondering, which provider has the most global regions. I went to all the big cloud provider websites, and I was a bit surprised with the results. Google Cloud Regions.
Analytics Vidhya
MARCH 9, 2020
Learn how to build a decision tree model using Weka This tutorial is perfect for newcomers to machine learning and decision trees, and those. The post Build a Decision Tree in Minutes using Weka (No Coding Required!) appeared first on Analytics Vidhya.
erwin
MARCH 19, 2020
An enterprise architecture framework is a standardized methodology that organizations use to create, describe and change their enterprise architectures. Enterprise architecture (EA) itself describes the blueprint and structure of an organization’s systems and assets. It’s needed to make informed changes that help bridge the gap between the enterprise architecture’s current and desired future state.
datapine
MARCH 11, 2020
As digital transformation evolves, and more businesses begin to harness the power of digital technologies, the rate at which we are creating data is rising by the second. But, while data offers us invaluable insight in more ways than one, with so much to analyze and such little time, it’s becoming increasingly difficult to understand which metrics offer real value.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
KDnuggets
MARCH 18, 2020
This article discusses distinguishing between real financial time series and synthetic time series using XGBoost.
Corinium
MARCH 16, 2020
Customer experience optimization initiatives that depend too heavily on customer surveys or focus groups can lead organizations to make poor business decisions. When an executive wants to find out what customers think of their business, a logical ‘first thought’ might be to go out and ask them. This will work a lot of the time. But in certain circumstances, can also lead businesses to make terrible decisions.
Smart Data Collective
MARCH 24, 2020
Big data is changing the direction of our economy in unprecedented ways. Every business should look for ways to monetize big data and use it to optimize your business model. The number of companies using big data is growing at an accelerated rate. One poll found that 53% of businesses were using big data analytics in 2017. This figure has presumably risen in the years since.
Analytics Vidhya
MARCH 8, 2020
Introduction spaCy is my go-to library for Natural Language Processing (NLP) tasks. I’d venture to say that’s the case for the majority of NLP. The post spaCy Tutorial to Learn and Master Natural Language Processing (NLP) appeared first on Analytics Vidhya.
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