IBM Big Data Hub

DECEMBER 4, 2017

Readers of the IBM Big Data & Analytics Hub were hungry for knowledge this year. They voraciously read blog posts about incorporating machine learning, choosing the best possible data model, determining how to make the most of data science skills, working with open source frameworks and more.

Big Data

IBM Big Data Hub

DECEMBER 18, 2017

That's why we've compiled the Top 10 podcasts of the year from the IBM Big Data & Analytics Hub Insights Podcast feed right here. It can be difficult to keep up with all the best podcast episodes during the year.

Big Data

Smart Data Collective

FEBRUARY 11, 2021

Data analytics is the linchpin of digital business strategies in the 21st Century. Sensible companies need to know how to properly utilize data analytics to take full advantage of all of their digital resources. The Intersection Between Data Analytics and Digital Asset Management.

Marketing

datapine

APRIL 14, 2022

When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs.

Big Data

David Menninger's Analyst Perspectives

NOVEMBER 1, 2023

Alteryx was founded in 1997 and initially focused on analyzing demographic and geographically organized data. In 2017, it went public in an IPO on the NYSE. At the time of the IPO, Alteryx was focusing much of its marketing efforts on the data preparation market, particularly to support Tableau.

Analytics

Cloudera

FEBRUARY 23, 2023

Since the 1990s, opioid abuse in the US skyrocketed to the point that in 2017 the Department of Health and Human Services declared the opioid crisis a public health emergency. With CDP, KMC was able to develop the aptly named Controlled Substance Analytics platform to leverage data analytics in the fight against opioid abuse and misuse.

Data Analytics

Sisense

JULY 24, 2019

In my previous blog , I wrote about Natural Language Query (NLQ, or search analytics for some), as one of the major topics that we, the AI group in Sisense, are working on. NLQ is one of the oldest AI disciplines, but we’ve only recently started hearing about it in conjunction with BI and analytics. Machine Intent vs. User Intent.

Analytics

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect.

Analytics

AWS Big Data

AUGUST 9, 2024

With the ever-increasing volume of data available, Dafiti faces the challenge of effectively managing and extracting valuable insights from this vast pool of information to gain a competitive edge and make data-driven decisions that align with company business objectives. We started with 115 dc2.large

Data Lake

BizAcuity

APRIL 28, 2019

is delinquent as of June 30th, 2017. Today, it’s no secret that most forward-thinking businesses are keenly following the latest developments on big data, artificial intelligence, machine learning, and predictive analytics. And this data is crucial in taking the necessary steps to ensure successful debt collection.

Predictive Analytics

CIO Business Intelligence

JUNE 24, 2024

We’ve anticipated since 2017 the fact that we needed to be modular and bring power density in a very efficient manner to the floor.

Machine Learning

Sanjeev Mohan

FEBRUARY 6, 2019

Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline? I spent the majority of my time helping clients decide which was the right Hadoop platform and which NoSQL / nonrelational data store to pick for specific use cases. Fast forward to early 2017. So, why did I decide to write on this topic?

Data Analytics

Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. On April 28, 2017, Mike Olson , as one of the founders of Cloudera, writes about the initial public offering, and what the milestone means. “We Apache Kudu: Top Use Cases for Real-Time Analytics. Fast Forward!

Machine Learning

datapine

MAY 11, 2022

Digital data not only provides astute insights into critical elements of your business but if presented in an inspiring, digestible, and logical format, it can tell a tale that everyone within the organization can get behind. Data visualization methods refer to the creation of graphical representations of information. d) Area chart.

Visualization

Cloudera

DECEMBER 1, 2017

If you’re going to Strata Data Singapore 2017 at the Suntec Singapore Convention & Exhibition Centre , here are four sessions to attend that cover various combinations of my favorite themes: big data, safe data, and cloud data. 9:00am–12:30pm Tuesday, December 5, 2017. See you there! Read more.

Big Data

Smart Data Collective

JANUARY 13, 2021

As scalability with big data accelerates, consumers and organizations around the world are starting to witness its impact. Every aspect of our lives has been shaped by big data to some degree. How is big data changing the Internet? Big Data is Changing the Direction of the Internet Forever.

Big Data

Business Over Broadway

MARCH 8, 2021

In 2015, around 50% of data pros held a Master’s degree, 20% held a Doctoral degree and a quarter of them held a Bachelor’s degree. This shift in the educational makeup of those who are in the data analytics profession could be the result of more people moving into the field of data analytics at a young age.

Data Science

Smart Data Collective

DECEMBER 9, 2020

In 2017, the university forged a partnership with Microsoft and the city of Bellevue. Data from these accidents is used to train machine learning algorithms to identify correlating risk factors with car accidents. New machine learning initiatives offer promising opportunities to lower car accidents.

Machine Learning

Smart Data Collective

AUGUST 9, 2022

The risk of data breaches is rising sharply. The number increased 56% between 2017 and 2018. Big data technology is becoming more important in the field of cybersecurity. Data analytics and AI technology make this possible. Fortunately, new technology can help enhance cybersecurity. The practice of good defense.

Big Data

Smart Data Collective

FEBRUARY 23, 2021

With a growing number of industry supporters, ‘Mates in Mind’ uses complex data analytics and AI tools to deliver its mental health resources via its website. It has come up with a number of clever educational campaigns with the latest data analytics tools at its fingertips. Aiming to support the 2.1

Big Data

Data Science 101

APRIL 12, 2019

LinkedIn’s 2017 report had put Data Scientist as the second fastest growing profession and it’s number one on 2019’s list of most promising jobs. There are three main reasons why data science has been rated as a top job according to research. StreamSets is a top option for data management and integration. 3 1010 Data.

Data Science

Sisense

FEBRUARY 6, 2020

In Data Surrounds Us , we take a look at how technology is used to optimize the processes and decisions we make in our professional and personal lives. It won’t come as a shock that working in a data analytics company means data is one of our principal obsessions. We’re more than just believers in the power of data.

Visualization

Smart Data Collective

MARCH 24, 2020

Every business should look for ways to monetize big data and use it to optimize your business model. The number of companies using big data is growing at an accelerated rate. One poll found that 53% of businesses were using big data analytics in 2017. However, companies need to use big data wisely.

Big Data

Cloudera

DECEMBER 19, 2018

Data analytics priorities have shifted this year. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

Data Warehouse

CIO Business Intelligence

JUNE 24, 2022

“We use a combination of technologies to build what you can think of traditionally as ‘consumer 360,’” says Kumbhat, referring to a sales and support strategy that aggregates data from across the enterprise to provide a single, comprehensive view of the customer. The blueprint for business transformation. Driving change.

Digital Transformation

Smart Data Collective

JULY 19, 2019

The telecommunications industry could benefit from big data more than almost any other business. However, it has been slow to invest in machine learning and other big data tools, until recently. A 2017 analysis by MapR showed that telecommunications industries can benefit from big data more than almost any other company.

Big Data

Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.

Data Governance

CIO Business Intelligence

MAY 4, 2022

CoorsTek IT earned CIO 100 innovation awards in 2021 and 2022 for their use of advanced analytics in IoT and machine learning to connect production machinery at the company’s 25 manufacturing sites around the world and for a “model plant” integrated systems strategy. What follows are edited excerpts of that conversation.

Manufacturing

Smart Data Collective

JUNE 9, 2021

Big data has led to countless changes in organizations all over the world. A growing number of organizations are using new software applications that involve sophisticated data analytics features. They have benefited immensely from big data. Big data has been incredibly vital in these changes.

Data-driven

CIO Business Intelligence

JUNE 21, 2022

In March, Google Cloud extended its Contact Center AI (CCAI) service , with the ability to integrate with CRM (customer relationship management) applications in order to provide real-time insights and data analytics. Lack of clarity in product placement.

Management

Smarten

SEPTEMBER 6, 2019

SSDP (otherwise known as self-serve data preparation) is the logical evolution of business intelligence analytical tools. With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. Can SSDP Truly Make Analytics Self-Serve? What is SSDP?

Analytics

Cloudera

NOVEMBER 1, 2022

A quick trip in the congressional time machine to revisit 2017’s Modernizing Government Technology Act surfaces some of the most salient points regarding agencies’ challenges: The federal government spends nearly 75% of its annual information technology funding on operating and maintaining existing legacy information technology systems.

Cost-Benefit

Smarten

JANUARY 17, 2019

As simplified search analytics expands into all corners of the enterprise, the business can expect business users to embrace advanced analytics and, in so doing, to become more of an asset to the organization. By 2020, 50% of analytical queries will be generated via search, NLP or voice, or will be automatically generated.

Enterprise

Jet Global

OCTOBER 8, 2020

Tip 3: Make decisions with operational data. Data analytics are essential to supporting business decisions and, as companies seek to understand the status of their inventories, supply chains, and customer orders during the current period of uncertainty, operational data is now firmly at the forefront of decision-making.

Finance

Smart Data Collective

NOVEMBER 7, 2019

ISPs are using data analytics in a variety of ways. Many consumers may be concerned about this, because they are known to exploit customer data. However, they use data in a number of benevolent ways, which many people will be okay with. The Power of Data Analytics. This perspective extends to ISPs.

Big Data

DataRobot Blog

APRIL 1, 2018

Paxata was a Silver Sponsor at the recent Gartner Data and Analytics Summit in Grapevine Texas. Although some product solutions disrupted the operational reporting market, they require users to know the questions they need to ask their data. 2) Line of business is taking a more active role in data projects.

Analytics

Smart Data Collective

DECEMBER 17, 2020

Big data is disrupting the healthcare sector in incredible ways. The market for data solutions in healthcare is expected to be worth $67.8 billion by 2025 , which is a remarkable 303% increase from 2017. There are a lot of different applications for big data in the healthcare sector.

Data-driven