Corinium
FEBRUARY 20, 2020
Promoting data literacy and culture is essential to the success of any digital transformation. Developing analytical skills is like fishing. Giving someone a rod isn’t enough. They must genuinely want to catch a fish if they’re going to learn how to use it. Even then, they’ll need someone to show them how.
Dataiku
FEBRUARY 28, 2020
This blog post is part of a series of guest publications by Excelion Partners. It’s been growing for years. The rift just keeps getting bigger. There is plenty of blame to go around. Failed projects. Poor requirements. Scope creep. Software product marketing overpromising. Order taking and lack of progress.
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Smart Data Collective
FEBRUARY 20, 2020
Are you looking to capitalize off of your knowledge of big data? There are a lot of careers that talented data scientists can pursue. Information systems careers are among the most promising. IBM Big Data and Analytics Hub has talked about some of the biggest changes impacting the world of big data. They found an interesting quandary that many companies are facing.
Corinium
FEBRUARY 24, 2020
Ahead of his appearance at this year’s Chief Data & Analytics Officer Africa conference, Michiel van Staden, Data Analytics Lead: Everyday Banking Growth at Absa, shares three things his experiences to date have taught him about data leadership. The value of data analytics rests on communication.
Advertiser: ZoomInfo
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Smart Data Collective
FEBRUARY 14, 2020
Big data is a great asset for countless people all over the world. A growing number of companies are relying on data to deliver more value for their customers. One report shows the market for big data could reach $103 billion in the next seven years. Unfortunately, big data comes with a price. It can compromise our privacy, as more and more people can get access to it.
Analytics Vidhya
FEBRUARY 27, 2020
The Challenge of Making Machines Understand Text Language is a wonderful medium of communication. You and I would have understood that sentence in a. The post Quick Introduction to Bag-of-Words (BoW) and TF-IDF for Creating Features from Text appeared first on Analytics Vidhya.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
datapine
FEBRUARY 4, 2020
Let’s face it: every serious business that wants to generate leads and revenue needs to have a marketing strategy that will help them in their quest for profit. Today’s digital data has given the power to an average Internet user a massive amount of information that helps him or her to choose between brands, products or offers, making the market a highly competitive arena for the best ones to survive.
David Menninger's Analyst Perspectives
FEBRUARY 21, 2020
Ventana Research recently announced its 2020 research agenda for data, continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value and improve business outcomes. Data volumes continue to grow while data latency requirements continue to shrink. Meanwhile, virtually every organization is confronting a need for good data governance.
Corinium
FEBRUARY 13, 2020
How the role of the CDAO is changing, data culture is spreading and organisations are scaling data-driven capabilities dominated the agenda at this year’s conference. Corinium’s 2020 Chief Data & Analytics Officers UK conference revealed how CDAOs, data teams and organisations are evolving to scale data capabilities and drive ROI more efficiently.
CIO Business Intelligence
FEBRUARY 27, 2020
Remember when software as a service (SaaS) was the future of computing?
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
Analytics Vidhya
FEBRUARY 17, 2020
Introduction Convolutional neural networks (CNN) – the concept behind recent breakthroughs and developments in deep learning. CNNs have broken the mold and ascended the. The post Learn Image Classification on 3 Datasets using Convolutional Neural Networks (CNN) appeared first on Analytics Vidhya.
O'Reilly on Data
FEBRUARY 11, 2020
We suspected that data quality was a topic brimming with interest. Those suspicions were confirmed when we quickly received more than 1,900 responses to our mid-November survey request. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality.
datapine
FEBRUARY 18, 2020
The financial health, flow, and fluidity of your business will ultimately dictate its long-term success, which is why monitoring your money matters carefully, comprehensively, and accurately is absolutely essential. In our data-driven digital age, ‘business intelligent’ organizations with the ability to collate, organize, and leverage the insights that are most valuable to their ongoing commercial goals are the ones that are destined to thrive in the long-term.
David Menninger's Analyst Perspectives
FEBRUARY 18, 2020
Ventana Research recently announced its 2020 research agenda for analytics , continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value from their technology investments and improve business outcomes. It’s been exciting to follow the emergence of innovative capabilities in the analytics market, but for businesses it can be challenging to stay on top of all these changes.
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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.
Corinium
FEBRUARY 28, 2020
With customers increasingly demanding fast, convenient insurance quotes, the industry’s data leaders are feeling the pressure to develop products, services and experiences fit for the modern age. AI-driven insurance app Lemonade is the latest in a long line of financial services innovations designed to put customer experiences first.
Smart Data Collective
FEBRUARY 21, 2020
The accessibility and value of consumer data has grown substantially in the past several years. These days, nearly every company bigger than a “mom and pop” shop works to gather and analyze terabytes of data from their customers, hoping to better understand and serve them while one-upping the competition. In the financial industry, these efforts are particularly intense.
Analytics Vidhya
FEBRUARY 13, 2020
What is the difference between loc and iloc in Pandas? Put this down as one of the most common questions you’ll hear from Python. The post How to use loc and iloc for Selecting Data in Pandas (with Python code!) appeared first on Analytics Vidhya.
erwin
FEBRUARY 6, 2020
As organizations deal with managing ever more data, the need to automate data management becomes clear. Last week erwin issued its 2020 State of Data Governance and Automation (DGA) Report. The research from the survey suggests that companies are still grappling with the challenges of data governance — challenges that will only get worse as they collect more data.
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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.
Juice Analytics
FEBRUARY 10, 2020
In our book Data Fluency , we describe the four pillars of a “data fluent” organization: Data Consumers — the people who use data products to make better decisions; Data Authors — the people who create data products to influence and inform decisions; Data Ecosystem — the set of tools, processes, and capabilities to create effective data products; Data Culture — the norms, expectations, and leadership that encourage a data-driven organization.
DataRobot
FEBRUARY 26, 2020
The Coronavirus has infected nearly 80,000 people worldwide, resulting in some 2,500 fatalities. As this deadly contagion continues spreading from its origins in Wuhan, China, policymakers worldwide are scrambling to figure out how to contain it.
Corinium
FEBRUARY 14, 2020
With research showing that data literate enterprises are worth AUD $400-700 million more on average than their rivals, it’s time for data leaders to consider how they can release the value ‘trapped’ within their organisations. If a person can’t read or write, simple, everyday tasks become impossible. Imagine an employee trying to check their emails, schedule a meeting or edit a document without these essential skills.
Smart Data Collective
FEBRUARY 6, 2020
I had an interesting encounter at a young professionals’ group the other day. I ran into the head of an analytics company with a lot of experience in big data. When I talk to people from analytics companies, they usually emphasize the technical aspects of their profession. This man was different. He talked extensively about the types of clients he worked with the most.
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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.
Analytics Vidhya
FEBRUARY 12, 2020
How many boosting algorithms do you know? Can you name at least two boosting algorithms in machine learning? Boosting algorithms have been around for. The post 4 Boosting Algorithms You Should Know – GBM, XGBM, XGBoost & CatBoost appeared first on Analytics Vidhya.
Data Science 101
FEBRUARY 27, 2020
Data Science 101 is honored to present the Global Women in Data Science 2020 livestream. This is the fifth annual global conference which features “outstanding women doing outstanding data science work in academia, industry, government, and non-profits.” The livestream is free and it begins March 2, 2020 at 9am PST. The livestream will be available during the live event.
Domino Data Lab
FEBRUARY 12, 2020
Dean Wampler provides a distilled overview of Ray, an open source system for scaling Python systems from single machines to large clusters. If you are interested in additional insights, register for the upcoming Ray Summit. Introduction. This post is for people making technology decisions, by which I mean data science team leads, architects, dev team leads, even managers who are involved in strategic decisions about the technology used in their organizations.
erwin
FEBRUARY 13, 2020
When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. There’s always more data to handle, much of it unstructured; more data sources, like IoT, more points of integration, and more regulatory compliance requirements. Creating and sustaining an enterprise-wide view of and easy access to underlying metadata is also a tall order.
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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?
Corinium
FEBRUARY 10, 2020
Ahead of this week’s Chief Data & Analytics Officers UK conference, Denodo’s Paul Moxon, Hitachi Vantara’s Gwyn Evans and Dataiku’s Nadim Antar give their top predictions for the UK’s data and analytics industry in 2020. More than 200 data and analytics leaders will get a taste of what the future has in store for them when they descend on London for Corinium’s Chief Data & Analytics Officers UK conference this week.
Smart Data Collective
FEBRUARY 21, 2020
Many careers have been heavily impacted by changes in big data. The big data revolution has had a profound effect on healthcare, marketing and many other fields. One of the fields that has been most affected by big data is electrical engineering. Tom Dietterich, a professor of the Department of Electrical Engineering and Computer Science at Portland State University, has written an article on the impact of big data in this field.
Analytics Vidhya
FEBRUARY 11, 2020
Introduction Have you ever struggled to improve your rank in a machine learning hackathon on DataHack or Kaggle? You’ve tried all your favorite hacks. The post What is Bootstrap Sampling in Statistics and Machine Learning? appeared first on Analytics Vidhya.
IBM Big Data Hub
FEBRUARY 19, 2020
This story is part of Analytics Heroes , a series of profiles on leaders transforming the future of business analytics.
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