Smart Data Collective

AUGUST 6, 2020

At Smart Data Collective, we have talked about a few impressive technological trends that are shaping modern business in the 21st-century. Video marketing is another major technological breakthrough that is proving to pay massive dividends. But how can AI really be incorporated into a video marketing strategy ?

Deep Learning 82

Deep Learning Visualization Data-driven Marketing 82

Occam's Razor

OCTOBER 12, 2017

Like this blog, it will be particularly relevant for those who are in digital analytics and digital marketing. The first two are from editions of my newsletter, The Marketing – Analytics Intersect (it goes out weekly, and is now my primary publishing channel, sign up!). None focusses on digital marketing or analytics.

Marketing 136

Marketing Analytics Machine Learning Strategy 136

CIO Business Intelligence

APRIL 25, 2022

It’s a fast growing and lucrative career path, with data scientists reporting an average salary of $122,550 per year , according to Glassdoor. Here are the top 15 data science boot camps to help you launch a career in data science, according to reviews and data collected from Switchup. Data Science Dojo.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

CIO Business Intelligence

FEBRUARY 10, 2023

With the help of sophisticated predictive analytics tools and models, any organization can now use past and current data to reliably forecast trends and behaviors milliseconds, days, or years into the future. Predictive analytics has captured the support of wide range of organizations, with a global market size of $12.49

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Smart Data Collective

APRIL 25, 2022

This is great for marketing purposes as a satisfied customer can work just as well as ads, given they essentially go on to act as a brand ambassador. Email marketing can be a very effective way to generate new clients. Assist With Social Media Marketing. The benefits of providing a positive experience to customers is huge.

Management 135

Management Machine Learning Marketing Deep Learning 135

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth.

Data mining 59

Data mining Machine Learning Deep Learning Marketing 59

Smart Data Collective

MAY 8, 2022

By combining big data and AI together, companies can improve their business performance in the following ways: Analyzing consumer behavior Customer segmentation automation Personalizing marketing campaigns Customer retention and acquisition Intelligent decision support systems powered by AI and big data. Business analytics.

Big Data 106

Big Data Data Analytics Analytics Cost-Benefit 106

O'Reilly on Data

JUNE 18, 2019

Even if we boosted the quality of the available data via unification and cleaning, it still might not be enough to power the even more complex analytics and predictions models (often built as a deep learning model). An important paradigm for solving both these problems is the concept of data programming.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

IBM Big Data Hub

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. In conversational AI, this translates to organizations’ ability to make data-driven decisions aligning with customer expectations and the state of the market. billion by 2030.

Enterprise 107

Enterprise Interactive Data-driven Key Performance Indicator 107

Domino Data Lab

OCTOBER 9, 2019

We’ll examine National Oceanic and Atmospheric Administration (NOAA) data management practices which I learned about at their workshop, as a case study in how to handle data collection, dataset stewardship, quality control, analytics, and accountability when the stakes are especially high. How cool is that?!

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

bridgei2i

MARCH 9, 2021

Machine Learning: Since intelligence without learning isn’t intelligence, this subset of AI focuses on parsing data and modifying itself without human effort. ML techniques provide better data-based outputs over time. Deep Learning: DL falls under ML, but its capabilities aren’t comparable.

Technology 52

Technology Deep Learning Data-driven Optimization 52

CIO Business Intelligence

MARCH 30, 2022

Decision intelligence helps provide an automated way to make decisions, which in turn can help companies stay competitive and meet market demands, Brethenoux says. The company next plans to explore new technologies, such as deep learning, Baumhof says. Augment complex processes — especially for data collection.

Machine Learning 144

Machine Learning Testing Risk Data-driven 144

IBM Big Data Hub

FEBRUARY 14, 2024

Not only will this help scale the AOT tech across markets, but it will also help tackle integrations including additional languages, dialects and menu variations. AI platforms can use machine learning and deep learning to spot suspicious or anomalous transactions.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

O'Reilly on Data

MARCH 31, 2020

You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door. That foundation means that you have already shifted the culture and data infrastructure of your company. If you’re just learning to walk, there are ways to speed up your progress. Insight Fellows Data PM Program.

Management 332

Management Machine Learning Experimentation Metrics 332

Domino Data Lab

MARCH 3, 2019

After a data science conference, our marketing group wanted to follow-up by surveying 300 attendees from industry. Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. The data types used in deep learning are interesting.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Machine learning model interpretability. training data”) show the tangible outcomes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

JUNE 23, 2019

This talk will be a crash course in the top things product managers and leaders need to know about shipping machine learning projects. Companies that understand how to apply machine learning will be best positioned to scale and win their respective markets over the next decade.

Management 110

Management Machine Learning Experimentation Metrics 110

datapine

NOVEMBER 19, 2019

If you don’t pay attention to new changes or keep up the pace, it’s easy to fall behind the times (and the market) while other companies beat you to the punch. Get the inside scoop and learn all the new buzzwords in tech for 2020! The modern world is changing more and more quickly with each passing year. The solution?

Technology 279

Technology Internet of Things IT IoT 279

IBM Big Data Hub

NOVEMBER 14, 2023

Data products and data mesh Data products are assembled data from sources that can serve a set of functional needs that can be packaged into a consumable unit. Each data product has its own lifecycle environment where its data and AI assets are managed in their product-specific data lakehouse.

Strategy 115

Strategy Cost-Benefit Data-driven Measurement 115

IBM Big Data Hub

MAY 17, 2023

They use drones for tasks as simple as aerial photography or as complex as sophisticated data collection and processing. The global commercial drone market is projected to grow from USD 8.15 It can offer data on demand to different business units within an organization, with the help of various sensors and payloads.

Data Collection 85

Data Collection Visualization Data-driven Unstructured Data 85

Cloudera

FEBRUARY 4, 2019

With the rise of streaming architectures and digital transformation initiatives everywhere, enterprises are struggling to find comprehensive tools for data management to handle high volumes of high-velocity streaming data. CDF is the only platform in the market to offer out-of-the-box data provenance on streaming data.

IoT 73

IoT Prescriptive Analytics Digital Transformation Internet of Things 73

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use. Deliver use cases to market.

Data Governance 73

Data Governance Strategy Enterprise Machine Learning 73

Domino Data Lab

JULY 22, 2019

Now, Google is spending what, 10 figures marketing TensorFlow? One application of this is regarding data governance. We’ve got this complex landscape, tons of data sharing, an economy of data, external data, tons of mobile devices. The data governance parts of it have become more and more important.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109