Analytics Vidhya
MAY 6, 2020
Overview Scikit-learn, or sklearn, is the Swiss Army Knife of machine learning libraries Learn key sklearn hacks, tips, and tricks to master the library. The post 7 Impressive Scikit-learn Hacks, Tips and Tricks for Data Science appeared first on Analytics Vidhya.
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.
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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.
Teradata
MAY 5, 2020
Advanced analytics & AI techniques can help in curtailing the COVID-19 pandemic. This post describes an analytics prototype to build an early warning system for COVID-19.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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 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.
TDAN
MAY 5, 2020
The reversal from information scarcity to information abundance and the shift from the primacy of entities to the primacy of interactions has resulted in an increased burden for the data involved in those interactions to be trustworthy. If service and results are substandard or wrong, the reputation of the company can more quickly than ever […].
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Teradata
MAY 6, 2020
Teradata's Board of Directors has selected the company's next President and Chief Executive Officer: Steve McMillan. Read more from interim President and CEO, Vic Lund.
Analytics Vidhya
MAY 4, 2020
Introduction I had the pleasure of volunteering for ICLR 2020 last week. ICLR, short for International Conference on Learning Representations, is one of the. The post Key Takeaways from ICLR 2020 (with a Case Study on PyTorch vs. TensorFlow) appeared first on Analytics Vidhya.
BizAcuity
MAY 6, 2020
The business of land casinos. Over the past two decades, online casinos have evolved into one of the most lucrative businesses on the planet. This has also meant that land casinos need to relook at the way they increase their business to beat the competition of online gaming and casinos. Land casinos now, more than ever, need to focus on how to get customer footfall and how to get repeat customers.
FineReport
MAY 5, 2020
Dalam kerjaan sehari-hari, ketika dihadapkan kepada pembuatan tabel atau grafik ataupun analisis data, Anda kemungkinan akan memilih Excel. Tapi saya juga melihat banyak orang yang kebingungan dalam rumitnya deep learning Excel dan ketidakefisiennya dalam memproses big data. Faktanya, seorang business analyst profesional harusnya mahir dalam menggunakan berbagai software pembuat laporan (Excel/ QlikView/ Tableau/ FineReport) dan juga mahir dalam membuat berbagai laporan yang berbeda.
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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?
Sisense
MAY 8, 2020
Blog. In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital. We will feature stories from both builders and leaders who manage these transformations to illustrate workplace trends and what’s coming next. As COVID-19 continues to disrupt operations for businesses worldwide, product teams that do not normally have a work from home culture are being expected to adopt one — and fast.
Analytics Vidhya
MAY 5, 2020
The Complex yet Powerful World of DateTime in Data Science I still remember coming across my first DateTime variable when I was learning Python. The post All you Should Know About Datetime Variables in Python and Pandas appeared first on Analytics Vidhya.
bridgei2i
MAY 4, 2020
PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 4: COVID-19 | Implications and Impact on Insurance Industry. Listening time: 12 minutes. COVID-19 | Implications and Impact on Insurance Industry. In this episode, Anirban Chaudhury talks about how insurers the world over are grappling with new and unprecedented challenges to balance high financial losses, increasing new premiums, and rising claims.
FineReport
MAY 7, 2020
Bagaimana Cara Kerja Grafik Dinamis? Dibuat Dengan FineReport. Gambar diatas adalah dashboard yang dibuat dengan FineReport yang memiliki grafik dinamis. Dengan mengklik posisi pie chart yang bersangkutan, Anda dapat menampilkan data di suatu area yang spesifik. Mari bandingkan data yang dipresentasikan dengan Excel. Apakah Anda rasa tampilannya nampak membosankan dan mati?
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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 6, 2020
In these times of great uncertainty and massive disruption, is your enterprise data helping you drive better business outcomes? The COVID-19 pandemic has forced organizations to tactically adjust their business models, work practices and revenue projections for the short term. But the real challenges will be accelerating recovery and crisis-proofing your business to mitigate the impact of “the next big thing.”.
Analytics Vidhya
MAY 7, 2020
Introduction The idea of storytelling is fascinating; to take an idea or an incident, and turn it into a story. It brings the idea. The post The Art of Storytelling in Analytics and Data Science | How to Create Data Stories? appeared first on Analytics Vidhya.
IBM Big Data Hub
MAY 4, 2020
Data is the fuel, cloud is the vehicle, AI is the destination. The intersection of these three pillars of IT has been the focus of IBM. Through the launch of IBM Cloud Pak for Data , our modern data and AI platform, we have containerized numerous offerings and delivered them as microservices to accelerate client’s journey to AI. Clients have successfully been able to collect, organize and analyze data in order to infuse AI across their business – on any cloud of their choice.
bridgei2i
MAY 4, 2020
PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 3: COVID19 and Changing business landscape in Europe. Listening time: 12 minutes. COVID-19 and Changing business landscape in Europe. In this episode, Monideepa Bhattacharya discusses the impact of COVID19 on the business landscape in Europe. She feels while the short-term focus will be on crisis-management and survival, businesses will increasingly turn to intelligent automation across sectors once they start recovering.
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.
Jen Stirrup
MAY 4, 2020
This is a personal blog and I’m sharing these details here to promote understanding and show empathy during these challenging times. I’m a Microsoft MVP, and have been one for nine years. I’m also a Microsoft Regional Director. I’m also a single mother, a daughter, a friend, and a sister. This past year has been challenging for me in every way possible.
Analytics Vidhya
MAY 6, 2020
You Scored > 50 Basis your assessment score – we recommend you to join the “Certified Business Analytics program” and learn all about business. The post Business Analytics Assessment Test Results appeared first on Analytics Vidhya.
Andrew White
MAY 4, 2020
Everything Changes. COVID-19 and the related economic fallout has pushed organizations to extreme cost optimization decision making with uncertainty. As a result, Data, Analytics and AI are in even greater demand. Every decision by every executive leader need information: What investments to furlough or delay, or accelerate? What initiatives to curtail, cancel or double down with?
IBM Big Data Hub
MAY 4, 2020
As we grow smarter and more sophisticated, thanks to rapidly enhancing technological innovations, enterprise data management and analytics have to keep pace to ensure organizations continue to remain effective and data- and insights-driven.
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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.
Jedox
MAY 7, 2020
To successfully move from outdated spreadsheet workflows to using integrated financial planning, there are important considerations on this path. In our new two part blog series, we will discuss how the Office of Finance can embark on the path to successful integrated planning. Ensure senior management support. The recognition that old structures in FP&A must be revamped is of course old news, yet many organizations are still struggling with doing the needed revamp.
Jen Stirrup
MAY 5, 2020
Recently, I gave a Make Your Data Work Monday webinar on the complexities of the data sources for data science in Azure, and I thought it important enough to turn into an actual post. If you prefer video, you can catch the video here. How can you differentiate the different opportunities to store your data in Azure? Now, it may not sound that interesting, but it’s crucial; if you don’t have your data, then you don’t have your business.
DataCamp
MAY 5, 2020
This tutorial will define statistical bias in a machine learning model and demonstrate how to perform the test on synthetic data.
IBM Big Data Hub
MAY 4, 2020
Many financial firms are increasing their use of AI models because they can represent the real world more accurately, and they can deliver better projections than traditional, rule-based models. But some AI models can add complexity and risk. You can minimize that risk and also streamline the process of model validation by using IBM Cloud Pak for Data , a data and AI platform that includes IBM Watson Studio, Watson Machine Learning, Watson OpenScale and other services.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
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.
TDAN
MAY 5, 2020
Many businesses keep their data in silos and employ analytics at a process or departmental level. Centralizing these data silos to create a data mart, warehouse, or lake gives organizations more visibility over operations and results in more accurate analytics that take a wider range of internal and external factors into consideration. Among other things, […].
Sisense
MAY 4, 2020
Blog. Data’s more influential than ever, but just how much data is there? In The Wide World of Data , we dig into astonishing facts and trends about the size and growth of the datasphere, how data is being used, and how it truly makes up the entire world around us. Information about the size and growth of data is abundant. Previously , we collected some of the most hair-raising examples to show just how much of it there is.
Bruno Aziza
MAY 5, 2020
How Regeneron is using Databricks to Build a Genetics Center at Scale.
IBM Big Data Hub
MAY 4, 2020
Today’s market conditions elevate the need to put trusted data into the right hands almost in real-time. The market has been experiencing a dramatic demand for near-frictionless, fact-based decision-making processes. With business continuity top of mind, leaders are turning to DataOps programs to deliver trusted data quickly by creating trusted data pipelines between data sources and data users mapped to their critical business objectives.
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.
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