Smart Data Collective

JULY 4, 2019

When it comes to understanding all the contributing factors and advanced innovations of the impending digital era , it is more than fair to say that we are all striving to contribute in our own way. For some, that means teaching themselves how to code. For others, it is taking on the commitment of a post-graduate program in AI and ML. No matter what one’s individual contribution to the ever-looming digital era, seemingly big or small, the point remains the same: we are propelling towards the dig

Analytics 97

Analytics IT Big Data Statistics 97

Analytics Vidhya

JULY 3, 2019

Overview Presenting 11 data science videos that will enhance and expand your current skillset We have categorized these videos into three fields – Natural. The post 11 Superb Data Science Videos Every Data Scientist Must Watch appeared first on Analytics Vidhya.

Data Science 307

Data Science Analytics 307

O'Reilly on Data

JULY 3, 2019

The O'Reilly Data Show: Ben Lorica chats with Jeff Meyerson of Software Engineering Daily about data engineering, data architecture and infrastructure, and machine learning. In this week's episode of the Data Show, we're featuring an interview Data Show host Ben Lorica participated in for the Software Engineering Daily Podcast , where he was interviewed by Jeff Meyerson.

Machine Learning 45

Machine Learning Data Architecture Data Processing Software 45

datapine

JULY 3, 2019

In a hyper-connected digital world driven by data, there has never been a better time for businesses to gather meaningful insights on their target prospects, in addition to measuring ongoing levels of commercial growth and performance. The modern consumer, or digital native, craves a significant level of value from the brands in which they’re looking to invest – and as such, to gain consumer loyalty, businesses must reach out and talk to their customers on a personal level.

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Metrics KPI Strategy ROI 219

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

Optimization

Corinium

JULY 2, 2019

Africa is at the centre of a global development crisis and customer experience professionals have the opportunity to influence economic growth and increase shareholder value with meaningful impact. The 2030 Agenda for Sustainable Development, adopted by all United Nations Member States in 2015, provides a shared blueprint for peace and prosperity for citizens, businesses and the planet, now and into the future.

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Analytics Vidhya

JUNE 30, 2019

Overview Check out the top 6 machine learning GitHub repositories created in June There’s a heavy focus on NLP again, with XLNet outperforming Google’s. The post 6 Powerful Open Source Machine Learning GitHub Repositories for Data Scientists appeared first on Analytics Vidhya.

Machine Learning 307

Machine Learning Analytics Deep Learning Data Science 307

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. Introduction. Welcome back to our monthly burst of themespotting and conference summaries. BTW, videos for Rev2 are up: [link]. On deck this time ’round the Moon: program synthesis. In other words, using metadata about data science work to generate code.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Corinium

JULY 2, 2019

Digital transformation has imposed a closer alignment between the roles of the CIO and innovative Enterprise Architecture teams. Forward thinking Enterprise Architects (EA) have become the vanguards for the successful execution of business transformation strategies and objectives. The once accepted separation between developing a business and technology strategy in the enterprise no longer exists due to the evolution of Enterprise Architecture as a role – which is responsible for moving EA close

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Enterprise Digital Transformation Strategy Technology 150

Analytics Vidhya

JULY 4, 2019

Overview Check out our pick of the top 24 Python libraries for data science We’ve divided these libraries into various data science functions, such. The post Don’t Miss out on these 24 Amazing Python Libraries for Data Science appeared first on Analytics Vidhya.

Data Science 307

Data Science Analytics Data Collection Visualization 307

Srividya Sridharan

JULY 3, 2019

It’s nearly Independence Day in the United States—a day filled with parades; fireworks; family; and, of course, delicious food. The day honors something that we, like the Founding Fathers before us, hold dear in the research organization at Forrester: the agreed upon final wording of a document, devised by a team of thinkers, driven by a […].

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IoT Business Intelligence Analytics 91

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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?

Business Intelligence

DataRobot

JULY 1, 2019

“Women and people of color are fighting many battles in the tech world and in the fast-growing world of artificial intelligence.” ( The New York Times ) Because AI models are often a reflection of the humans who train and manage them, incidents of AI bias are still found in many industries and in organizations all over the world. When companies build diverse teams, they will usually have more diverse AI models that can help them overcome bias.

Modeling 88

Modeling Management 88

Paul Turley

JULY 4, 2019

Navigating from a Power BI report to an SSRS Paginated report with filters and parameters. This recipe primarily involves Power BI report design techniques. I’m not going to get into the details of Power BI report design but will cover the basics with a partially-completed report to get you started. If you are less-experienced with Power BI you can use this as an example for future report projects.

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Reporting 85

Analytics Vidhya

JULY 2, 2019

Overview Check out 10 of the most awesome Artificial Intelligence (AI) startups in India We focus on a diverse field of AI startups, including. The post 10 Artificial Intelligence (AI) Startups in India You Should Know appeared first on Analytics Vidhya.

Analytics 286

Analytics 286

Smart Data Collective

JULY 1, 2019

Big data is rewriting the playbook for the criminal justice system. Oxford Research Encyclopedias has talked about some of the ways that criminal justice professionals are utilizing big data. Two significant applications really stand out the most: Big data is used extensively in criminal justice research. The majority of modern studies on criminal justice topics rely heavily on data analysis.

Big Data 81

Big Data Cost-Benefit Predictive Analytics Machine Learning 81

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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.

Data-driven

IBM Big Data Hub

JULY 3, 2019

On June 12th, IBM debuted AutoAI, a new set of capabilities for Watson Studio designed to automate critical yet time-consuming tasks associated with designing, optimizing and governing AI in the enterprise. As a result, data scientists can be liberated to commit more time to designing, testing and deploying machine learning models. To learn more about what these developments mean for the data science community, I sat down with IBM’s Vice President of AI, IBM Research, to get his perspective.

Data Science 80

Data Science Machine Learning Testing Optimization 80

Dataiku

JULY 1, 2019

After an exciting kick-off at EGG NYC , the human-centered AI conference is back, this time in London. Tomorrow, July 2nd, data professionals, academics and enthusiasts across different countries, industries and backgrounds, will come together to talk about the future of AI. EGG puts the spotlight on humanity and empathy in AI, diving into real-world use cases and hot topics such as machine learning interpretability, bias and fairness.

Machine Learning 76

Machine Learning 76

Teradata

JUNE 30, 2019

Teradata Vantage is busting through analytic silos and raising the bar. Find out what drove these innovations and led to Vantage becoming our most popular release yet.

Analytics 75

Analytics 75

Smart Data Collective

JULY 2, 2019

Big data is playing a surprisingly important role in the evolution of renewable energy. IBM recently published a fascinating paper on the applications of big data for solar and other green energy sources. Other researchers around the world are also talking about the role of data analytics in this dynamic, growing field. Global Experts Weigh in On Renewable Energy Dependence on Big Data.

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Data Analytics Internet of Things Analytics Big Data 78

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.

Marketing

Paul Turley

JULY 5, 2019

— report recipealso see: Drillthrough from Power BI to an SSRS Paginated Report In the recipe titled “Drillthrough from Power BI to Paginated Report” I demonstrate how to use report parameters and a dynamic URL address to navigate between reports and pass parameter values in the URL from a Power BI report to detailed data … Continue reading →

Reporting 75

Reporting 75

TDAN

JULY 2, 2019

The third and final part of the Non-Invasive Data Governance Framework details the breakdown of components by level, providing considerations for what must be included at the intersections. The squares are completed with nouns and verbs that provide direction for meaningful discussions about how the program will be set up and operate. Full consideration is […].

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Data Governance Data Quality Data Architecture Metadata 74

Sisense

JULY 3, 2019

Blog. Everyone…. literally everyone (even my mother) is talking about AI these days. Whether it is the now ubiquitous ‘next product to buy’ or excitement in the news evangelizing AI’s potential for detecting cancer, we have long passed the point where AI and Machine Learning are restricted to the technology lab. AI is nothing new for Sisense. In fact, our core In-Chip™ Performance Accelerator is built on machine learning algorithms that optimize the use of memory and cache, allowing us to manage

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IT Machine Learning Dashboards Visualization 74

Smart Data Collective

JUNE 29, 2019

Perl has a number of built-in modules that help customize URL structures. Some of them are over 20 years old , but others are more ideal for certain projects. One of them is the mod_rewrite method. For example, you might be working on a website in PHP with the following URL structure: [link]. This structure isn’t ideal, because it is a dynamic URL. You could solve this problem by changing the URL to the following: [link].

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Software IT 77

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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.

Reporting

Jet Global

JULY 2, 2019

The sheer scale of data being captured by the modern enterprise has necessitated a monumental shift in how that data is stored. From the humble database through to data warehouses , data stores have grown both in scale and complexity to keep pace with the businesses they serve, and the data analysis now required to remain competitive. What was at first a data stream has morphed into a data river as enterprise businesses are harvesting reams of data from every conceivable input across every conc

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

TDAN

JULY 2, 2019

Before the end of the decade, the number of connected objects is projected to expand greatly. According to several different analysts, the number of connected objects by 2020 could be as low as 26 billion or as high as 50 billion. But even the low end of that range is quite large. Indeed, connectedness is […].

Internet of Things 74

Internet of Things Data Architecture IoT Data Strategy 74

Andrew White

JULY 2, 2019

The US print edition of the Financial Times yesterday published an Opinion piece by Eline Chivot, senior policy analyst for the Center of Data Innovation. The piece, titled “ A reality check for GDPR: it is holding EU business back ”, calls out the perhaps unintended consequences of regulation. Of course, anyone familiar with Milton Friedman would have anticipated the conclusion of the author.

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Publishing Risk Technology IT 73

Timo Elliott

JULY 4, 2019

In a couple of weeks, I’ll be heading off to Nairobi, Kenya, to keynote the SAP Innovation Day on July 18th. I’ll be explaining how organizations can optimize every experience that matters using the latest technologies, as part of their Intelligent Enterprise digital transformations. Innovation is moving at the speed of light, and our job is to show you how to move with it, how to arm your business for a brighter future with new levels of agility and resilience, and how to accelerate

Digital Transformation 72

Digital Transformation Predictive Analytics Optimization Enterprise 72

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.

Business Intelligence

Sisense

JUNE 30, 2019

What does your company do? . That was a trick question. It doesn’t matter what you think your company does, it’s going to have to turn into a data company soon, if it hasn’t started already, in addition to continuing to provide your core product or service. This may sound daunting, but it’s a good challenge to have and one that will ultimately improve your offering, delight your customers, increase stickiness and adoption , and keep you competitive in a changing data landscape. .

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Data Strategy Strategy Consulting Experimentation 71

IBM Big Data Hub

JULY 2, 2019

Delivering a great customer experience is more important than ever. Learn what you can deliver with data science and AI.

Data Science 61

Data Science 61

Data Insight

JULY 2, 2019

Being data-driven means using all your data, regardless of division, team or legacy system, its a holistic approach. In Chapter 3 of The Data Revolution Book, Data Insight Founder and CEO, Carmen Vicelich provides five key questions executive teams need to discuss on their journey to enabling a data-driven culture. Download the Book. Data audit — what data do we have and where is it?

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TDAN

JULY 2, 2019

No doubt, every organization requires valuable data to understand the needs and preferences of their customers and target audience. If you are operating a business, then you may also know the importance of big data. The data needs to be properly presented and analyzed. With that, you can easily determine the needs of your audience […].

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Big Data Data Strategy Business Intelligence Strategy 58

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.

Data-driven