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 91

Analytics IT Big Data Statistics 91

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

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

Enterprise 150

Enterprise Digital Transformation Strategy Technology 150

Dataiku

JULY 4, 2019

It's hard to know where to start once you’ve decided that yes, you want to dive into the fascinating world of data and AI. Just looking at all the technologies you have to understand and all the tools you’re supposed to master is enough to make your dizzy.

Technology 111

Technology IT Visualization 111

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

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 […].

IoT 91

IoT Business Intelligence Analytics 91

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 Visualization Data Collection 307

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.

Reporting 85

Reporting 85

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 81

Data Science Machine Learning Testing Optimization 81

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

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 79

Big Data Cost-Benefit Predictive Analytics Machine Learning 79

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

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

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 […].

Data Governance 74

Data Governance Data Quality Data Architecture Metadata 74

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 285

Analytics 285

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].

Software 76

Software IT 76

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Testing

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

IT 74

IT Machine Learning Dashboards Visualization 74

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 74

Reporting 74

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

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.

Data Analytics 76

Data Analytics Internet of Things Analytics Big Data 76

Advertisement

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

IT

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

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

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.

Risk 73

Risk Publishing Technology IT 73

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. .

Data Strategy 71

Data Strategy Strategy Consulting Experimentation 71

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

Customer Analytics

IBM Big Data Hub

JULY 3, 2019

When businesses evaluate cloud infrastructure, databases or other core business systems, they nearly always consider scale as a decision factor. But scalability – the ability to grow as planning and business grows – is often overlooked for enterprise performance management.

Enterprise 62

Enterprise Management 62

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?

Data-driven 61

Data-driven Key Performance Indicator IT Dashboards 61

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 58

Digital Transformation Predictive Analytics Optimization Enterprise 58

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 […].

Big Data 58

Big Data Data Strategy Business Intelligence Strategy 58

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

Risk

Andrew White

JULY 2, 2019

Click here for an interactive PDF to connect to the research directly. This list excludes our branded research such as Magic Quadrants etc. Donald goes right into number 1 spot with a new note this week!

Analytics 56

Analytics Interactive 56

bridgei2i

JULY 4, 2019

Case study. Cross Sell Transformation for a Leading Financial Services Firm. Business Context. Our Client, one of the largest financial services company in India, has a large portfolio of products in the personal finance space. The client wanted to grow customer base by improving cross sell to increase the number of products per customer as per his needs and requirements.

Finance 53

Finance Sales Enterprise Analytics 53

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 65

Data Science 65

Smarten

JULY 2, 2019

Self-Service Data Prep and Advanced Analytics for Business Users! Are your business users trying their best to leverage advanced analytics tools, only to find that the software solution requires them to be an expert in data science? Do your users have to ask IT to professional analysts for data preparation assistance in order to ensure that they can access, prepare and use the data they need to analyze.

Visualization 51

Visualization IT Testing Interactive 51

Advertisement

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

Strategy