Smart Data Collective

APRIL 20, 2019

They believe that advances in big data have made business cards, brochures and direct mail marketing obsolete. We showed that marketers are actually using big data to improve the performance of their direct mail marketing campaigns. In fact, we have found that big data is making business card marketing better than ever.

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Smart Data Collective

APRIL 21, 2022

Big data has led to a number of changes in the world of finance. Global companies are expected to spend over $11 billion on financial analytics services by 2026. One of the biggest reasons companies are spending so much on financial analytics is to improve investing opportunities. Why Big Data Matters.

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Smart Data Collective

JANUARY 29, 2020

The future of business relies heavily on big data advancements. One of the biggest strides that the technology sector has made for corporations involves the creation of the digital workplace with AI, machine learning and other big data tools. Quantum Run has a great overview of the rise of big data in the VA industry.

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Smart Data Collective

FEBRUARY 20, 2022

More companies are investing in big data than ever these days. One survey published on CIO found that less than a third of companies have reported that big data has buy-in from top executives. If you are running a business that has not yet adapted a data strategy, you should keep reading.

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Smart Data Collective

AUGUST 16, 2019

Predictive analytics is changing the future of weather predictions. A growing number of meteorologists are using big data to make more reliable predictions. A 2017 study by Pennsylvania State University addressed the benefits of big data in weather analysis. Yahoo Weather. Accuweather.

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Smart Data Collective

SEPTEMBER 15, 2019

Big data has brought major changes to countless industries. Healthcare, finance, criminal justice, and manufacturing have all been touched by advances in big data. However, big data is also transforming other industries. The music industry is relying more on big data than ever.

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Data Science Blog

NOVEMBER 15, 2023

The trend towards powerful in-house cloud platforms for data and analysis ensures that large volumes of data can increasingly be stored and used flexibly. New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications.

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IBM Journey to AI blog

AUGUST 12, 2024

Driven by significant advancements in computing technology, everything from mobile phones to smart appliances to mass transit systems generate and digest data, creating a big data landscape that forward-thinking enterprises can leverage to drive innovation. However, the big data landscape is just that.

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Smart Data Collective

APRIL 16, 2019

Predictive analytics is the foundation of modern marketing. Companies rely on predictive analytics to: Get a better understanding of customer behavior based on past data that has been collected. Use existing data sets to identify future trends that will influence the future of your business.

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Smart Data Collective

JULY 9, 2019

Currently, companies can review thousands of data points on individual customers for enhanced comprehension of their best customers. One example is the use of big data to differentiate millennial buying habits from older customers. Big data provides myriad ways to help customers save time. Leverage Your Big Data.

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Smart Data Collective

JULY 28, 2019

Big data is everywhere. Each time you swipe a grocery store card, make a purchase online or buy from a big-box store, your shopping habits are being stored somewhere. You need to understand how big data plays a role in the family law industry. Big data also changes the way that consumers behave after a divorce.

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Smart Data Collective

SEPTEMBER 26, 2019

The big data market is expected to be worth $189 billion by the end of this year. A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. Characteristics of Big Data.

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Smart Data Collective

MAY 2, 2019

Small businesses are looking to big data to get an edge against their more established competitors. Big data is becoming more important in the new economy. Without a stellar big data strategy in place, many businesses are doomed to the day they open their doors. Big data is also great for content creation.

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Smart Data Collective

SEPTEMBER 12, 2019

Big data is playing an essential role in virtually every facet of the digital marketing sphere. You can use big data to get higher conversion rates with any digital marketing medium, including email marketing. This figure can be a lot higher if you use big data to properly optimize your campaigns.

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Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. We would like to talk about data visualization and its role in the big data movement.

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Dataconomy

SEPTEMBER 4, 2023

Diagnostic analytics: Diagnostic analytics goes a step further by analyzing historical data to determine why certain events occurred. By understanding the “why” behind past events, organizations can make informed decisions to prevent or replicate them.

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Data Science Dojo

FEBRUARY 18, 2023

With over 20 industry experts, this conference is a must-attend event for anyone looking to stay at the forefront of this rapidly evolving field. Register today and start exploring the limitless possibilities of Artificial Intelligence and data! 

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Data Science Blog

JULY 23, 2023

BI provides real-time data analysis and performance monitoring, while Data Science enables a deep dive into dependencies in data with data mining and automates decision making with predictive analytics and personalized customer experiences. Each applications has its own data model.

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Smart Data Collective

NOVEMBER 25, 2019

Just as companies are becoming more aware of the value of data, so are hackers — and as a result, the frequency and cost of data breaches are beginning to skyrocket. In the future, companies that come to rely on these new data sources will also need to protect that data — or risk the consequences.

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Smart Data Collective

MAY 3, 2022

A few years ago, Walter Baker and his colleagues at McKinsey reported that one of the biggest advantages of big data in business is that it can help with pricing decisions. “Without uncovering and acting on the opportunities big data presents, many companies are leaving millions of dollars of profit on the table.

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DataRobot Blog

SEPTEMBER 22, 2022

Next week, we’re excited to partner with industry leaders at Big Data & AI Paris, alongside a launch of a dedicated French language microsite. We will be speaking with AI leaders at Big Data & AI Paris 2022 on September 26-27 to share how DataRobot has helped to solve AI and data science challenges in top organizations.

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Smart Data Collective

FEBRUARY 5, 2021

It looks like everyone is ready to start trading especially after a bumpy and unexpected turn of events on the WallStreet and RobinHood app. The truth is that while big data technology has helped with forex trading in a lot of ways, it is important to understand how to use this technology effectively.

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Pickl AI

SEPTEMBER 18, 2024

Summary: Netflix’s sophisticated Big Data infrastructure powers its content recommendation engine, personalization, and data-driven decision-making. As a pioneer in the streaming industry, Netflix utilises advanced data analytics to enhance user experience, optimise operations, and drive strategic decisions.

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Pickl AI

SEPTEMBER 12, 2024

Summary: This blog explores how Airbnb utilises Big Data and Machine Learning to provide world-class service. It covers data collection and analysis, enhancing user experience, improving safety, real-world applications, challenges, and future trends.

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Smart Data Collective

AUGUST 26, 2021

That’s where data analytics steps into the picture. Big Data Analytics & Weather Forecasting: Understanding the Connection. Big data analytics refers to a combination of technologies used to derive actionable insights from massive amounts of data. Real-Time Weather Insights.

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Smart Data Collective

JUNE 26, 2019

While it might not take a mountain of data to spot a pattern, the more data that is available, the better the chances that the trend is not an anomaly, but an established event. The twenty-first century offers a lot of exciting innovations when it comes to data processing and analytics.

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Smart Data Collective

MARCH 11, 2022

There is no disputing that data analytics is a huge gamechanger for companies all over the world. Global businesses are projected to spend over $684 billion on big data by 2030. There are many ways that companies are using big data to boost their profitability. Customer Journey Analytics.

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Smart Data Collective

NOVEMBER 18, 2020

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly. Where to Use Data Science?

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Smart Data Collective

JUNE 8, 2023

We have talked extensively about the many industries that have been impacted by big data. many of our articles have centered around the role that data analytics and artificial intelligence has played in the financial sector. However, many other industries have also been affected by advances in big data technology.

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Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason.

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IBM Journey to AI blog

JUNE 5, 2024

Given the volume of SaaS apps on the market (more than 30,000 SaaS developers were operating in 2023) and the volume of data a single app can generate (with each enterprise businesses using roughly 470 SaaS apps), SaaS leaves businesses with loads of structured and unstructured data to parse. What are application analytics?

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IBM Journey to AI blog

JULY 24, 2023

It tracks four important pillars: metrics, events, logs and traces (MELT) to understand the behavior, performance, and other aspects of cloud infrastructure and apps. It aims to understand what’s happening within a system by studying external data.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. And you should have experience working with big data platforms such as Hadoop or Apache Spark. For example, retailers can predict which stores are most likely to sell out of a particular kind of product.

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Pickl AI

JUNE 29, 2023

It initiates the collection, indexing, and analysis of machine-generated data in real-time. It helps harness the power of big data and turn it into actionable intelligence. Moreover, it allows users to ingest data from different sources. Additionally, Splunk can process and index massive volumes of data.

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Pickl AI

OCTOBER 15, 2024

Diagnostic Analytics Diagnostic analytics goes a step further by explaining why certain events occurred. It uses data mining , correlations, and statistical analyses to investigate the causes behind past outcomes. It analyses patterns to predict trends, customer behaviours, and potential outcomes.

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Pickl AI

JULY 23, 2023

Using the right data analytics techniques can help in extracting meaningful insight, and using the same to formulate strategies. The analytics techniques like descriptive analytics, predictive analytics, diagnostic analytics and others find application in diverse industries, including retail, healthcare, finance, and marketing.

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The MLOps Blog

FEBRUARY 5, 2023

In the later part of this article, we will discuss its importance and how we can use machine learning for streaming data analysis with the help of a hands-on example. What is streaming data? This will also help us observe the importance of stream data. It can be used to collect, store, and process streaming data in real-time.

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