Sisense

MARCH 31, 2019

Business intelligence implementation can seem like a daunting task at the outset. There are so many moving parts, needs, and requirements that finding the right starting point may feel like a shot in the dark. However, one of the most important aspects of running a successful business intelligence project is finding the right starting point. Clear starting points can help you launch new projects faster and acclimate to your platform’s tools.

Dashboards 75

Dashboards Business Intelligence ROI Testing 75

Jen Stirrup

APRIL 2, 2019

Marketing is viewed as a key strategic participant in achieving the goals of businesses, both large and small. I thought I’d share how we started to apply marketing theory, practice, and insights from data. There are tons of ‘skate on the surface’ marketing soundbite books, which may sound good at the first glance with no depth. But it’s quite a different thing to work at it so you really know it, practice it, and can share it with other people so it is authentic.

Marketing 59

Marketing Advertising Data-driven Strategy 59

TDAN

APRIL 2, 2019

Bureaucracy was known to be the plague of the USSR, but has recently become a heavy burden for private companies. New regulations such as Sarbanes-Oxley, Dodd-Frank, and GDPR, spanning all functions from HR to accounting to product labelling to vendor certifications, are constantly put in place by various states where companies operate. These rules have […].

Data Strategy 40

Data Strategy Business Intelligence Big Data Strategy 40

Srividya Sridharan

APRIL 4, 2019

Insights come in many flavors. Customer insights. Consumer insights. Competitor insights. Market insights. Company insights. Operational insights. Process insights. Sales insights. Marketing insights….you get the drift. All types of enterprise data (big, medium, small and petite), as well as external data fuel these insights and make you smarter about how you engage with your customers, […].

Sales 94

Sales Marketing Enterprise B2B 94

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

Dataiku

APRIL 2, 2019

According to Forbes , as of 2018, only 11 percent of small and medium businesses (SMBs) use AI, and 41 percent feel that it’s too complex for their needs. But AI and machine learning don't need to be complex, and the first wave of SMBs to embrace these technologies will undoubtedly get ahead (in a big way).

Machine Learning 81

Machine Learning IT Technology Enterprise 81

Analytics Vidhya

MARCH 31, 2019

Introduction What’s the first thing you do when you’re attempting to cross the road? We typically look left and right, take stock of the. The post Computer Vision Tutorial: A Step-by-Step Introduction to Image Segmentation Techniques (Part 1) appeared first on Analytics Vidhya.

Analytics 307

Analytics Deep Learning 307

Corinium

APRIL 3, 2019

Ahead of GeoInsurance USA , taking place in the W Hoboken, NJ on June 11-12 we caught up with Jim Schweitzer to find out what motivates him to do what he does and how he found himself working for the National Insurance Crime Bureau. What would you say most motivates you to do what you do? The opportunity to provide a valuable service to first responders during times of great need to the benefit of the public.

Insurance 150

Insurance 150

David Menninger's Analyst Perspectives

APRIL 1, 2019

I am happy to share some insights gleaned from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Embedded Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

Analytics 100

Analytics Business Intelligence ROI Software 100

Analytics Vidhya

APRIL 3, 2019

Introduction GitHub repositories and Reddit discussions – both platforms have played a key role in my machine learning journey. They have helped me develop. The post Top 5 Machine Learning GitHub Repositories and Reddit Discussions from March 2019 appeared first on Analytics Vidhya.

Machine Learning 293

Machine Learning Analytics Deep Learning Data Science 293

Jenny Sussin

APRIL 1, 2019

Customer experience (CX) is not the just CRM rebranded, and this is something which is often misunderstood in the marketplace. Some of that is likely due to providers renaming their CRM solutions to something CX-related, some of it is because both start with “C, Customer.” But so do Artificial Sweetener and Artificial Intelligence. Or perhaps Banana Split and Banana Pancake, because they use the same special ingredient but are two different things.

Strategy 108

Strategy Technology Customer Analytics IT 108

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

Corinium

APRIL 3, 2019

Ahead of GeoInsurance USA , taking place in the W Hoboken, NJ on June 11-12 we caught up with Yosha DeLong to find out what motivates her to do what she does and how she found herself at Zurich North America. What would you say most motivates you to do what you do? Cyber is an emerging and ever changing field and threat. I want and need to be informed, educated and a resource for my company on this peril.

Insurance 150

Insurance IT 150

David Menninger's Analyst Perspectives

APRIL 5, 2019

I am happy to offer some insights on Oracle drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

Analytics 92

Analytics IT Business Intelligence ROI 92

Juice Analytics

APRIL 4, 2019

Preet Bharara, former United States Attorney for the Southern District of New York, shared some thoughts on writing his new book "Doing Justice" (from the New York Times Book Review podcast — starts at 21:30). These lessons mirror the challenges we see when we think about the distinction between making good visualizations and crafting data stories. Anything of length is difficult in a different way.

Visualization 97

Visualization IT 97

Smart Data Collective

APRIL 2, 2019

Cloud technology has had a profound impact on the web hosting profession. It is driven largely by advances in big data. Since big data has revolutionized the web hosting industry, a myriad of new hosting options are available. How is Big Data Affecting the Future of Big Data? The sudden emergence of big data is changing the nature of web hosting in two significant ways: Companies need more extensive hosting solutions to ensure they have adequate storage.

Data Processing 96

Data Processing Big Data Marketing Data-driven 96

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

Corinium

APRIL 1, 2019

Corinium is pleased to announce the launch of The Top 20 Influencers in GeoInsurance | Americas Effective use of Geospatial Data and Technology within the Insurance and Reinsurance Industry allows for comprehensive insight and competitive pricing. With an array of information available to the industry, insurance premiums are created with the use of decision-shaping information such as; location and environmental factors as well and not limited to meteorological information.

Insurance 150

Insurance Technology Analytics 150

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. Introduction. Welcome back to our monthly burst of themes and conferences. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Sisense

APRIL 2, 2019

What is DevOps? Is it technology? Is it a process? No, DevOps is much more than that. DevOps can be considered a concept, a culture, a development, and operational philosophy, and a movement. It’s also shaping the way BI and Analytics are deployed. The DevOps movement started to come together sometime between 2007 and 2008. This is when IT operations and software development communities started to talk about problems in the software industry, specifically around the traditional software developm

Software 80

Software Testing Enterprise IT 80

Smart Data Collective

APRIL 2, 2019

Data Lakes are among the most complex and sophisticated data storage and processing facilities we have available to us today as human beings. Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation. These massive storage pools of data are among the most non-traditional methods of data storage around and they came about as companies raced to embrace the trend of Big Data Analytics w

Data Lake 83

Data Lake Big Data OLAP Testing 83

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IT

Corinium

APRIL 1, 2019

Behind the boom in data and analytics, is a thriving collection of data driven leaders. With technologies such as Artificial Intelligence and Machine Learning now entering the mainstream, organizations need to ensure they have top talent leading their data and analytics projects. Part 1 of Corinium ‘The Top 100 Innovators in Data and Analytics 2019 | Americas’ The third compilation from Corinium covers 100 of today’s innovators in data and analytics.

Analytics 150

Analytics Data-driven Machine Learning Technology 150

Jet Global

APRIL 2, 2019

Artificial Intelligence is coming for the enterprise. Long the domain of science fiction and dystopian movies, computers that are capable of simulating human intelligence are poised to have a transformative impact on the business world over the next decade, and as investment dollars flow in and use cases are proven out, that impact only stands to increase.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

Andrew White

APRIL 5, 2019

An oft heard inquiry from clients is, “What is the right metric to use?” The context might be for: Defining data quality. Reporting the business impact of a data governance initiative. Monitoring the progress of a digital or data-driven transformation. In all cases the assumption is that there is a definitive metric or key performance indicator (KPI).

Metrics 80

Metrics Key Performance Indicator KPI Marketing 80

Smart Data Collective

APRIL 5, 2019

Big data is playing a more important role than ever in fine-tuning the relationship between customers and brands. It gives brands better insights into their customer behavior, which helps them reach them more effectively. Social listening tools are a prime example of this application. The Complex Role Between Big Data and Social Listening Tools. Social media is a critical piece of the marketing puzzle for every brand today, regardless of the industry you’re in.

Big Data 79

Big Data Interactive Data-driven Metrics 79

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

Ontotext

APRIL 4, 2019

Source: Economy.bg. On March 19, 2019, Economy.bg interviewed Milena Yankova, Head of Research and Innovation for Ontotext. The conversation covered a wide range of topics from the tasks Artificial Intelligence (AI) can handle and the challenges it poses, to “fake news”, the intelligent enterprise of the future, cancer and much more. Learn about how machines can and do help people to be more efficient and more creative.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

Grooper

APRIL 1, 2019

VIA - Defining The Language of Information. The digital enterprise thrives when the workforce speaks “data.” The success of digital transformation, data and analytics projects, and data-driven solutions depends on a new kind of literacy - data literacy. In fact, data literacy is a key trigger for innovation.

Digital Transformation 75

Digital Transformation Data-driven Enterprise Analytics 75

The Data Visualisation Catalogue

APRIL 4, 2019

Below is a guest post from Andy Maggio, the founder of DataView VR. He’s here to explain his vision of the future with dashboards and workspaces from utilising virtual reality (VR) technology. Andy will also demonstrate how VR can be useful in multi-dimensional data analysis and in the financial industry. During my 14 years at Morgan Stanley as an investment analyst, by far my biggest challenge was trying to process the incredible amount of data and information that was available to me daily.

Dashboards 75

Dashboards Predictive Modeling Visualization Modeling 75

Smart Data Collective

APRIL 5, 2019

A growing number of property management companies around the world are recognizing the benefits of data analytics. Analytics is a necessary element of any digital marketing strategy. Analyzing data patterns and trends is key to ensuring a company reaches the right customers and targets people in the right way. The property industry is one of the best examples of an industry that is using data analytics to its advantage.

Data Analytics 78

Data Analytics Management Analytics Advertising 78

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

Dataiku

APRIL 1, 2019

Following a slew of incidents of AI gone wrong, governmental agencies are preparing contingency plans for an AIexit in case of extreme circumstances. According to increasingly more experts worldwide, AIexit will be the most likely response to and outcome of AI technology in the next 15 years, possibly resulting in the outright banning of AI technologies as a result of activities essentially done by man.

Technology 74

Technology 74

IBM Big Data Hub

APRIL 2, 2019

If your business hasn’t already embraced a multiple-cloud strategy, it’s likely that one is in your near future. Recent research shows that 85 percent of companies already operate in multicloud environments, and 98 percent of companies plan to be multicloud by 2021.

Strategy 74

Strategy 74

Decision Management Solutions

APRIL 2, 2019

Many speakers on predictive analytics, machine learning (ML) and AI talk about the need to allow data science teams to fail. Without failure, without a willingness to fail sometimes, it’s very hard to build a successful data science program. This is true and often a barrier for companies that find it hard to accept that not all analytics initiatives succeed.

Analytics 74

Analytics Predictive Analytics Data Science Machine Learning 74

TDAN

APRIL 2, 2019

If you are just starting out and feel overwhelmed by all the various definitions, explanations, and interpretations of data governance, don’t be alarmed. Even well-seasoned data governance veterans can struggle with the definition and explanation of what they do day to day. It’s not that we/they (newbies and veterans alike) don’t understand the big picture […].

Data Governance 72

Data Governance Data Quality Metadata Data Strategy 72

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Strategy