Corinium
MAY 15, 2020
The importance of company-wide buy-in and cross-functional collaboration emerged as key themes at this months Data Champions Online, US digital event. Almost 300 of North America’s most senior data and analytics leaders came together to discuss the future of the industry at Corinium’s third Data Champions Online, US digital event earlier this month.
Corinium
MAY 29, 2020
Faced with unprecedented global disruption, organizations are hungry for reliable insights to guide them through the global COVID-19 pandemic. In times of crisis, organizations often need to make tough decisions fast. That’s particularly true in the era of COVID-19, and our research shows that data and analytics is playing a central role in business decision-making as executives steer their organizations through the unfolding pandemic.
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Analytics Vidhya
MAY 3, 2020
Overview Work on your data science skills using these open source projects These open-source data science projects cover a broad range of topics, from. The post 6 Open Source Data Science Projects to Try at Home! appeared first on Analytics Vidhya.
Dataiku
MAY 1, 2020
Deep learning is all the rage today, as major breakthroughs in the field of artificial neural networks in the past few years have driven companies across industries to implement deep learning solutions as part of their AI strategy. From chatbots in customer service to image and object recognition in retail , and much more, deep learning has unlocked a myriad of sophisticated new AI applications.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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
MAY 13, 2020
Introduction I love working with C++, even after I discovered the Python programming language for machine learning. C++ was the first programming language I. The post An Introduction to Machine Learning Libraries for C++ appeared first on Analytics Vidhya.
Analytics Vidhya
MAY 14, 2020
Overview Learn 3 classic Excel tricks in this article that will impress your audience Use these Excel tricks in your business analytics or data. The post 3 Classic Excel Tricks to Become an Efficient Analyst 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.
Analytics Vidhya
MAY 28, 2020
Introduction We are living in the midst of a global revolution right now. The business world of today is more interconnected than ever, not. The post Partner and Affiliate Monitoring: The Benefits of AI Over Traditional Methods appeared first on Analytics Vidhya.
O'Reilly on Data
MAY 14, 2020
In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. This role includes everything a traditional PM does, but also requires an operational understanding of machine learning software development, along with a realistic view of its capabilities and limitations. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI p
David Menninger's Analyst Perspectives
MAY 7, 2020
In this analyst perspective, Dave Menninger takes a look at data lakes. He explains the term “data lake,” describes common use cases and shares his views on some of the latest market trends. He explores the relationship between data warehouses and data lakes and share some of Ventana Research’s findings on the subject. He also provides an assessment of the risks organizations face in working with data lakes and offers recommendations for maximizing the potential of data.
Corinium
MAY 11, 2020
HPE Global Field CTO Matt Maccaux explored why so many enterprises struggle to operationalize AI in his 2020 Data Champions Online US keynote presentation. Why Enterprises Struggle to Industrialize AI. Industrialization is the process of expanding the application of a technology so that a business can benefit from it at scale.
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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?
datapine
MAY 20, 2020
Niche or industry aside, it’s likely that your customers are the beating heart of your entire operation. To ensure that your customer-facing communications and efforts are constantly improving and evolving, investing in customer relationship management (CRM) is vital. To win on today’s increasingly competitive digital battlefield, getting under the skin of your customers’ most burning needs, behaviors, and preferences while providing direct solutions to their pain points will thrust you ahead of
Rocket-Powered Data Science
MAY 20, 2020
I have written articles in many places. I will be collecting links to those sources here. The list is not complete and will be constantly evolving. There are some older blogs that I will be including in the list below as I remember them and find them. Also included are some interviews in which I provided detailed answers to a variety of questions. In 2019, I was listed as the #1 Top Data Science Blogger to Follow on Twitter.
Analytics Vidhya
MAY 24, 2020
Overview matplotlib is a widely used Python library for performing data visualization and exploratory data analysis These 10 matplotlib tricks will enable you to. The post 10 matplotlib Tricks to Master Data Visualization in Python appeared first on Analytics Vidhya.
O'Reilly on Data
MAY 27, 2020
Algorithms tell stories about who people are. The first story an algorithm told about me was that my life was in danger. It was 7:53 pm on a clear Monday evening in September of 1981, at the Columbia Hospital for Women in Washington DC. I was exactly one minute old. The medical team scored me—as it does for nearly all of the 98% of American newborns who arrive in hospitals—using a ten-point scale known as the Apgar, a simple algorithm based on direct observations of newborn health.
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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.
erwin
MAY 20, 2020
Data governance (DG) as a an “emergency service” may be one critical lesson learned coming out of the COVID-19 crisis. During times of crises, many of the less critical programs of work may be put on hold however ground-breaking they are. Organizations need to understand what the most critical operational activities are and the most impactful projects that need to proceed.
Corinium
MAY 29, 2020
In episode 10 we talk to Veronica Brits & Lays Bammesberger about the use of AI and machine learning in social listening.
datapine
MAY 27, 2020
In recent years, analytical reporting has evolved into one of the world’s most important business intelligence components, compelling companies to adapt their strategies based on powerful data-driven insights. While many companies struggle to leverage an effective business intelligence strategy, the importance of analytical information created a fluctuation of data that cannot be simply collected into a single spreadsheet.
Boris Evelson
MAY 18, 2020
If you set out to build a boil-the-ocean business case for why to invest in data, analytics and insights initiatives – stop. Use your precious time to instead focus on prioritizing the investment categories across where you are in your business insights maturity. Because they will yield tangible benefits – both top and bottom-line benefits. […].
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
Analytics Vidhya
MAY 19, 2020
Overview Git and GitHub are essential tools for any data science professional who wants to code Learn the value and the in’s and out’s. The post New to Git and GitHub? This Essential Beginners Guide is for you appeared first on Analytics Vidhya.
Juice Analytics
MAY 11, 2020
Dresner Advisory Services’ report about self-service business intelligence uncovered a surprising result. Among all the technologies and initiatives that respondents consider important, the item that topped the list was reporting. [link]. Let that sink in. Among all the hot analytics initiatives to choose from (big data, IoT, NLP, data storytelling, cognitive BI, GDPR), plain old reporting is what is considered the most important strategic initiative.
bridgei2i
MAY 26, 2020
PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 6: The Impact of COVID-19 on Supply Chain Management. Listening time: 13 minutes. The Impact of COVID-19 on Supply Chain Management. In this episode of AI to Impact podcast, Arun Krishnamoorthy, VP, Supply Chain Practice at BRIDGEi2i, discusses how the pandemic has affected the Supply Chain ecosystems throwing their sourcing network, lead times and data pipelines off balance.
Corinium
MAY 27, 2020
In episode 8 we talk to Youmna Borghol about the evolution of the Chief Data Officer role in the Middle East. And take a deep dive into how data analytics is used in the media sector.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
erwin
MAY 7, 2020
Although there is some crossover, there are stark differences between data architecture and enterprise architecture (EA). That’s because data architecture is actually an offshoot of enterprise architecture. In simple terms, EA provides a holistic, enterprise wide overview of an organization’s assets and processes, whereas data architecture gets into the nitty gritty.
IBM Big Data Hub
MAY 12, 2020
AI is transforming how businesses operate and deliver value, while simultaneously improving efficiencies across the organization. Governments have taken an increasingly important role in the advent of COVID-19 as citizens look to government agencies for trusted information for their individual safety, well-being and beyond – to both support and benefit themselves socially, economically and emotionally.
Analytics Vidhya
MAY 18, 2020
Overview PyCaret is a super useful and low-code Python library for performing multiple machine learning tasks in double-quick time Learn how to rely on. The post Running Low on Time? Use PyCaret to Build your Machine Learning Model in Seconds appeared first on Analytics Vidhya.
Srividya Sridharan
MAY 15, 2020
Spring is usually an exciting time in the sports world. It marks the culmination of the men’s and women’s college basketball seasons, the NBA and NHL playoffs begin, the domestic European soccer (football) leagues are in full swing and the Boston Marathon traditionally takes place on the third Monday of April. But the COVID-19 crisis […].
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
TDAN
MAY 20, 2020
Is it possible to listen without opinion, judgement or stories [i]? In this coronavirus pandemic, many people have strong opinions, judgement, and stories. For example: — “This is ridiculous, and we are overacting.”— “We have not been careful enough and are not being careful enough. This is serious!”— “We have shut down our economy over […].
Corinium
MAY 26, 2020
This is an extract from Corinium's 2020 State of Data and Analytics US benchmarking research. Click here now to access the full report.
Bruno Aziza
MAY 5, 2020
How Regeneron is using Databricks to Build a Genetics Center at Scale.
IBM Big Data Hub
MAY 19, 2020
With COVID-19 and the current market uncertainty, every business leader is under unprecedented pressure to cut their expenses while still ensuring business continuity - no one, more so than the CIO. Enabling this new reality of virtual collaboration, automation and self-service while supporting the increased focus on data, analytics and AI is forcing IT leaders to reduce complexity and consolidate their offerings.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
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