DataRobot

AUGUST 14, 2019

A few weeks ago, one of my favorite webcomics, Math with Bad Drawings , posted a comic in response to his other post, “ Why Baseball Statistics Matter”. I really enjoyed Ben Orlin’s explanation because it combines my passion for both baseball and data science. Further, it really resonates with the challenges I’ve seen many companies face as they work to incorporate data science throughout their businesses, as well as the experiences I have had working with various sports teams as they begin usin

Analytics 15

Analytics Statistics Data Science IT 15

Juice Analytics

AUGUST 16, 2019

The importance of a good team to build data solutions can’t be underemphasized. If you’ve read anything like Francois Ajenstat ’s recent Forbes article or Roger Pen’s e-book on building data science effective teams you get many of the key points; however I would argue that in addition to these points you need to invest time with your Human Resources (HR) team and make them an integral part of the success.

Visualization 81

Visualization Data-driven Consulting Dashboards 81

Teradata

AUGUST 13, 2019

Find out how the early architectural decisions surrounding the Teradata Database are still making a critical contribution to performance today. Read more!

Management 65

Management 65

Peter James Thomas

AUGUST 16, 2019

Click to view a larger version in a new window. When I recently published the latest edition of The Data & Analytics Dictionary , I included an entry on Charts which briefly covered a number of the most frequently used ones. Given that entries in the Dictionary are relatively brief [1] and that its layout allows little room for illustrations, I decided to write an expanded version as an article.

Publishing 75

Publishing Metrics Data Quality Measurement 75

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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

KDnuggets

AUGUST 14, 2019

At times it may seem Machine Learning can be done these days without a sound statistical background but those people are not really understanding the different nuances. Code written to make it easier does not negate the need for an in-depth understanding of the problem.

Machine Learning 123

Machine Learning Statistics Modeling IT 123

Smart Data Collective

AUGUST 15, 2019

No matter what industry you’re in, identifying creative ways to cut costs is always an important goal. From small startups to major corporations, cost-saving tactics should be an important area to explore. Even when your business cost and costs of production aren’t growing exponentially, chances are everything around you is. Cost of living is rising; customer acquisition is more difficult than ever in such a competitive landscape; and suppliers are looking to increase their profits by upcharging

Big Data 87

Big Data Sales Testing Statistics 87

David Menninger's Analyst Perspectives

AUGUST 13, 2019

Organizations’ use of data and information is evolving as the amount of data and the frequency with which that data is collected increase. Data now streams into organizations from myriad sources, among them social media feeds and internet-of-things devices. These seemingly ever-increasing volumes of devices and data streams offer both challenges and opportunities to capture information about a business and improve its operations.

Internet of Things 244

Internet of Things IT Machine Learning Business Intelligence 244

datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amo

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

O'Reilly on Data

AUGUST 15, 2019

The O’Reilly Data Show Podcast: Alex Ratner on how to build and manage training data with Snorkel. In this episode of the Data Show , I speak with Alex Ratner , project lead for Stanford’s Snorkel open source project; Ratner also recently garnered a faculty position at the University of Washington and is currently working on a company supporting and extending the Snorkel project.

Machine Learning 102

Machine Learning Management 102

Analytics Vidhya

AUGUST 13, 2019

Overview What are loss functions? And how do they work in machine learning algorithms? Find out in this article Loss functions are actually at. The post A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code appeared first on Analytics Vidhya.

Machine Learning 304

Machine Learning Analytics Statistics 304

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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

Corinium

AUGUST 16, 2019

AI is transforming the customer service profession. Gartner predicts that 15% of all customer service interactions will be handled using AI by 2021. That means half of all enterprises could be spending more on AI than traditional mobile within two years.

Interactive 199

Interactive Enterprise 199

KDnuggets

AUGUST 16, 2019

As a data scientist, you are in high demand. So, how can you increase your marketability even more? Check out these current trends in skills most desired by employers in 2019.

Marketing 123

Marketing Data Science 123

erwin

AUGUST 15, 2019

Organizations largely recognize the need for enterprise architecture tools, yet some still struggle to communicate their value and prioritize such initiatives. As data-driven business thrives , organizations will have to overcome these challenges because managing IT trends and emerging technologies makes enterprise architecture (EA) increasingly relevant.

Enterprise 110

Enterprise Management ROI Data-driven 110

Analytics Vidhya

AUGUST 15, 2019

Overview Hackathons are a wonderful opportunity to gauge your data science knowledge and compete to win lucrative prizes and job opportunities Here are the. The post Innoplexus Sentiment Analysis Hackathon: Top 3 Out-of-the-Box Winning Approaches appeared first on Analytics Vidhya.

Data Science 286

Data Science Analytics 286

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Data-driven

Corinium

AUGUST 12, 2019

In 2007 I was asked to produce an event around shared services. I was awe struck at how many developments there were in the industry at that time. There was all this talk about significant cost benefits, enhanced service quality and manageable challenges. This was an exciting time. Companies were challenging common business models as they had to restructure their business due to decreasing customer loyalty and margin erosion.

Cost-Benefit 150

Cost-Benefit Modeling Technology Management 150

KDnuggets

AUGUST 16, 2019

Use of Machine Learning (ML) in Medicine is becoming more and more important. One application example can be Cancer Detection and Analysis.

Machine Learning 123

Machine Learning 123

Bruno Aziza

AUGUST 11, 2019

Readers of this column know that Artificial intelligence (AI) is hot. Managing Director at Redpoint Capital’s Tomasz Tunguz pointed out this past week that there were no AI startups eight years ago and that today, there are 400!

Management 105

Management 105

BizAcuity

AUGUST 12, 2019

Artificial intelligence – We’ve all heard about it. It’s everywhere, in your cell phone, your social media apps, Amazon Alexa, Google Assistant – you name it. Let’s just agree that it’s become a norm in the technology space and is destined to make an appearance in almost every area of our lives in the coming years.

Advertising 98

Advertising Machine Learning Software Interactive 98

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

Corinium

AUGUST 11, 2019

Customer relationship management (CRM) is about knowing every critical piece of information about your customers. It’s absolutely necessary to have a CRM platform that can harness and manage data about your customers, no matter where it comes from. It’s not enough to just have customer data—a business also needs to be able to use it to create better customer experiences.

Management 150

Management IT 150

KDnuggets

AUGUST 12, 2019

Check out this list of NLP researchers, practitioners and innovators you should be following, including academics, practitioners, developers, entrepreneurs, and more.

123

123

Jen Stirrup

AUGUST 14, 2019

It’s ironic that there are so many technical tools ways to communicate, there are still problems in achieving effective internal communication in companies. This is particularly evidence in relationships between Finance and IT. In this topic, the issues will be explored further The issue with having so many technical tools is that the quantity of communication may increase, so this can give the appearance that communication is going well.

Business Intelligence 96

Business Intelligence Finance IT Cost-Benefit 96

MLWhiz

AUGUST 11, 2019

I am a Mechanical engineer by education. And I started my career with a core job in the steel industry. But I didn’t like it and so I left that. I made it my goal to move into the analytics and data science space somewhere around in 2013. From then on, it has taken me a lot of failures and a lot of efforts to shift. Now, people on social networks ask me how I got started in the data science field.

Data Science 96

Data Science Analytics IT 96

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Reporting

Srividya Sridharan

AUGUST 16, 2019

Come gather ’round, people, wherever you roam And admit that the waters around you have grown And accept it that soon you’ll be drenched to the bone If your time to you is worth savin’ Then you better start swimmin’ or you’ll sink like a stone For the times they are a-changin’ — Bob Dylan The […].

Customer Analytics 88

Customer Analytics IT Data-driven Data Governance 88

KDnuggets

AUGUST 12, 2019

If you are diving into AI and machine learning, Andrew Ng's book is a great place to start. Learn about six important concepts covered to better understand how to use these tools from one of the field's best practitioners and teachers.

Machine Learning 123

Machine Learning 123

Dataiku

AUGUST 14, 2019

The data science community is in a period of rapid change, and the upcoming documentary Data Science Pioneers - made by and for data scientists - will be the first to capture both this excitement and uncertainty. In anticipation of the documentary's highly anticipated release, we sat down with Florian Douetteau, CEO of Dataiku, to discuss how the role of data scientist has changed and how to maintain a supportive and open community grounded in understanding, collaboration, and shared knowledge.

Data Science 17

Data Science Uncertainty 17

TIBCO

AUGUST 14, 2019

Here at TIBCO, we’re all about being better together. TIBCO knows that innovation does not happen in isolation—innovation is a team sport. When provided with the right tools, the right mindset, and the right teammates, the impact of innovation can change the game. Usually, when one thinks about teamwork, they consider traditional sports; football, basketball, etc.

Forecasting 85

Forecasting Strategy Metrics Testing 85

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

Smart Data Collective

AUGUST 13, 2019

We are no strangers to technological advancement. We are positively immersed and surrounded in it. It seems that no matter where one looks, there is the prominent force of technology and rapid digitalisation present in some way. The digital era is well and truly here, and we are becoming increasingly familiar and reliant on it. We wake up and reach for our smartphones, we book our rides to the office on them, order our food on them, do our work on them… It is something that we cannot escape, as

Machine Learning 85

Machine Learning Technology Software Visualization 85

KDnuggets

AUGUST 13, 2019

Apache Spark is one of the hottest and largest open source project in data processing framework with rich high-level APIs for the programming languages like Scala, Python, Java and R. It realizes the potential of bringing together both Big Data and machine learning.

Big Data 24

Big Data Machine Learning Data Processing IT 24

IBM Big Data Hub

AUGUST 15, 2019

Nearly every business is under competitive, disruptive, and regulatory pressures. As companies face digital transformation and modernization to meet their customers’ expectations, leveraging data and AI at the speed of business can be the biggest differentiator.

Digital Transformation 81

Digital Transformation 81

erwin

AUGUST 15, 2019

Organizations largely recognize the need for enterprise architecture tools, yet some still struggle to communicate their value and prioritize such initiatives. As data-driven business thrives , organizations will have to overcome these challenges because managing IT trends and emerging technologies makes enterprise architecture (EA) increasingly relevant.

Enterprise 79

Enterprise ROI Data-driven Technology 79

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