Decision Management Solutions

FEBRUARY 11, 2019

Think 2019 is here! This session will share relevant use cases and illustrate how decision modeling can be used as a framework to inject AI into your business operations. Delivering Excellent Customer Experiences with Analytics and Automation. Sharpen your skills. Get hands-on experience with the latest technology.

Analytics 40

Analytics Machine Learning Strategy Modeling 40

Rocket-Powered Data Science

MARCH 10, 2020

In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

CIO Business Intelligence

AUGUST 2, 2022

What role does AI and machine learning play in this effort, not only for general analysis but for predictive analytics as well? Reyes: We started a program in 2019 for analytics, AI, and machine learning and began by working heavily with the business to identify areas of potential ML use cases. That’s one.

Data Quality 89

Data Quality Digital Transformation Machine Learning Predictive Analytics 89

Smart Data Collective

JUNE 7, 2019

With the new AI models in place, less proficient design experts can create magnetic designs with optimal efficiency. Predictive analytics helps engineers anticipate future applications and the necessary design parameters. Predictive analytics is helping designers tackle this challenge.

Big Data 76

Big Data Cost-Benefit Predictive Analytics Manufacturing 76

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. The Data Scientist profession today is often considered to be one of the most promising and lucrative. Every Data Scientist needs to know Data Mining as well, but about this moment we will talk a bit later.

Data mining 142

Data mining Data Science Informatics Statistics 142

Smart Data Collective

JULY 22, 2019

A study by Juniper Research estimates that they will cost global companies $2 trillion in 2019! They use a variety of machine learning and predictive analytics models to target new marks and reach them more effectively. Cyberattacks are becoming more prevalent these days. Social engineering is used in many online scams.

Machine Learning 70

Machine Learning Predictive Analytics Consulting Data-driven 70

BizAcuity

APRIL 25, 2022

From 2009 to 2019, in a span of 10 years, the United States tripled its gross gaming revenue from $34.3 According to Statista, the global influencer marketing market value has more than doubled since 2019, standing at around 13.8 Predictive Analytics. Gaming analytics is still evolving. billion U.S.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

Decision Management Solutions

JUNE 25, 2019

Data shows that a traditional data-first approach to analytics is not generating much value for companies and I urged the audience instead to adopt a decisions-first mindset. The last mile – getting ML models embedded into production systems – is critically important for analytic value and yet it is hard and often neglected.

Predictive Analytics 75

Predictive Analytics Analytics Data Science Experimentation 75

Smart Data Collective

NOVEMBER 12, 2021

You should use big data to improve your outsourcing models by data mining pools of talented employees. billion outsourcing tasks in 2019. Data-Driven Businesses Are Shifting More Towards Outsourcing Models. One of the other benefits of data analytics is that it can help forecast future business activity.

Data-driven 102

Data-driven Cost-Benefit Data mining Big Data 102

Domino Data Lab

JANUARY 24, 2019

Before we get too far into 2019, I wanted to take a brief moment to reflect on some of the changes we’ve seen in the market. These solutions help data analysts build models by automating tasks in data science, including training models, selecting algorithms, and creating features. Reflections. Jupyter) or IDEs (e.g.,

Data Science 65

Data Science Marketing Data-driven Statistics 65

Smart Data Collective

AUGUST 8, 2019

Unfortunately, predictive analytics and machine learning technology is a double-edged sword for cybersecurity. They are developing predictive analytics tools with big data to prepare for threats before they surface. Big data is the lynchpin of new advances in cybersecurity. The scourge of card enrollment.

Big Data 84

Big Data Data Processing Machine Learning Predictive Analytics 84

Sisense

AUGUST 19, 2020

Big data, analytics, cloud computing, data mining, data science — the buzzwords of the modern data and analytics industry — have taken every business and organization by storm, no matter the scale or nature of the business. These insights have helped improve machine learning models with more precise data.

Big Data 52

Big Data Machine Learning Digital Transformation Marketing 52

Hurwitz & Associates

APRIL 2, 2019

In its April 2, 2019, announcements, IBM is building on the following principles for its storage offerings: Data is the universal digital asset that must be protected – and better managed across data sources. Support for more public clouds will likely follow in 2019/2020. IBM’s Key Principles for the Announcements.

Software 56

Software Enterprise Snapshot Management 56

Sisense

MAY 31, 2020

“We knew our journey with predictive analytics and sentiment analysis was going to be a gradual progression that would eventually help us understand and better serve our customers. Sisense is delivering a beautiful front-end experience, powerful and flexible data modeling, and the opportunity to integrate at a very deep level.”

Marketing 98

Marketing Reporting Data Warehouse Predictive Analytics 98

Sisense

JULY 29, 2020

That’s where data and analytics are vital: They can help you make the right decisions to shape your organization’s future, both near- and long-term. That’s why analytics has become increasingly essential t o companies in this time of crisis. Sisense analytics became a critical tool to enable such a pivot.

Analytics 95

Analytics Digital Transformation Data-driven Sales 95

Jet Global

OCTOBER 16, 2019

Interestingly, according to a survey cited in Gartner’s Magic Quadrant for Cloud Financial Planning and Analysis Solutions, forty-six percent of respondents said predictive analytics is where they intended to invest the most money before 2021. This article originally appeared in PaymentsJournal on October 16, 2019.

Finance 58

Finance Data-driven Reporting Digital Transformation 58

O'Reilly on Data

MARCH 18, 2020

The new survey, which ran for a few weeks in December 2019, generated an enthusiastic 1,388 responses. This year, about 15% of respondent organizations are not doing anything with AI, down ~20% from our 2019 survey. It seems as if the experimental AI projects of 2019 have borne fruit. But what kind? Bottlenecks to AI adoption.

Enterprise 309

Enterprise Deep Learning Data Governance Risk 309

KDnuggets

AUGUST 22, 2019

We developed an optimal prediction model from correlations in the time and status of ownership as well as the time of the year of sales fluctuations. Using the ATTOM dataset, we extracted data on sales transactions in the USA, loans, and estimated values of property.

Sales 89

Sales Technology Predictive Modeling Optimization 89

datapine

OCTOBER 21, 2020

Now that we live longer, treatment models have changed and many of these changes are namely driven by data. and could provide a model for the EU to follow. Analytics, already trending as one of the business intelligence buzzwords in 2019, has the potential to become part of a new strategy. 3) Real-Time Alerting.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Domino Data Lab

JUNE 2, 2019

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Ludwig (@RandiRLudwig) May 23, 2019. Being model-driven is like using GPS.”. “If

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

datapine

NOVEMBER 19, 2019

While we’ve seen traces of this in 2019, it’s in 2020 that computer vision will make a significant mark in both the consumer and business world. Already in our shortlist of tech buzzwords 2019, artificial intelligence is on the front scene for next year again. Artificial Intelligence (AI). Connected Retail. Hyperautomation.

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

SEPTEMBER 2, 2022

Anupam Khare: We started this journey into data analytics and AI in 2019 and it has become very pervasive within the organization. I think we were always a data-driven organization, but what we are doing through AI and analytics is creating a rich data- and decision-making culture.

Uncertainty 96

Uncertainty Manufacturing Data-driven Business Intelligence 96

CIO Business Intelligence

SEPTEMBER 2, 2022

Anupam Khare: We started this journey into data analytics and AI in 2019 and it has become very pervasive within the organization. I think we were always a data-driven organization, but what we are doing through AI and analytics is creating a rich data- and decision-making culture.

Uncertainty 96

Uncertainty Manufacturing Data-driven Business Intelligence 96

BizAcuity

MARCH 31, 2022

By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. of organizations who participated in an executive survey back in 2019 claimed they are going to be investing in big data and AI. Source: Gartner Research). Source: TCS). AI Services.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

CIO Business Intelligence

APRIL 15, 2022

Derek Driggs, a machine learning researcher at the University of Cambridge, together with his colleagues, published a paper in Nature Machine Intelligence that explored the use of deep learning models for diagnosing the virus. The paper determined the technique not fit for clinical use. Healthcare algorithm failed to flag Black patients.

Analytics 145

Analytics Machine Learning Insurance Testing 145

Sisense

JUNE 30, 2020

In this diagram , visual analytics is shown to be the foundation for interactive data, thereby demonstrating how the two are connected. Analytics acts as the source for data visualization and contributes to the health of any organization by identifying underlying models and patterns and predicting needs.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

CIO Business Intelligence

APRIL 14, 2022

But in mid-2019, the Huntersville, N.C.-based Next steps for Bandaru also include a more intentional shift to predictive analytics, for which Bandaru is considering in-house development using Python, machine learning models from DataRobot, or perhaps Google’s Vertex AI platform.

B2B 95

B2B Digital Transformation Data Lake Sales 95

Corinium

APRIL 25, 2019

I’ve found many IT as well as Business leaders have a mental model of data in that it is simply part of, or belongs to, a specific database or application, and thus they falsely conclude that just procuring a tool to protect that given environment will sufficiently protect that data. This is a much more proactive and scalable model.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Smart Data Collective

DECEMBER 19, 2019

© Statista 2019 Also, here is a list of some other stats. Using machine learning models , AI-powered systems easily mimic humans. Once the hackers can spot any vulnerability in the machine learning workflow, leveraging the power of AI, they can bemuse the ML models. Modeling User Behavior. Machine Learning Poisoning.

Machine Learning 60

Machine Learning Reporting Testing Marketing 60

Cloudera

JANUARY 22, 2019

The top Big Data Fabric use cases recognized by Forrester are 360-degree view of the customer, Internet-of-things (IoT) analytics, and real-time and advanced analytics. Forrester acknowledges Cloudera (as well as Hortonworks, which merged with Cloudera in January 2019) as being among the top 15 providers of Big Data Fabric**.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

Cloudera

MAY 22, 2019

Cloudera’s data superheroes design modern data architectures that work across hybrid and multi-cloud and solve complex data management and analytic use cases spanning from the Edge to AI. If you’re using predictive machine learning models to save time and increase productivity, we want to hear from you, too. Award Categories.

Machine Learning 56

Machine Learning Data Architecture IoT Metadata 56

datapine

NOVEMBER 27, 2019

The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. 2019 was a particularly major year for the business intelligence industry. However, businesses today want to go further and predictive analytics is another trend to be closely monitored.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Mobile Analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Andrew White

JANUARY 11, 2021

Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role. Decision modeling (one of my favorites). Explore in dialogue decisions and outcomes rather than focus on data and analytics asked for. Try some gamification?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

These licensing terms are critical: Perpetual license vs subscription: Subscription is a pay-as-you-go model that provides flexibility as you evaluate a vendor. Pricing model: The pricing scale is dependent on several factors. These advanced analytics become easy for users to apply in their own analyses.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Smart Data Collective

MAY 19, 2021

They are exploring the wonders of AI and predictive analytics to drive these changes. As recently as 2019, the consumption of renewable energy sources in the US grew for a fourth consecutive year, reaching a record 11.5 One of the ways that companies are using data analytics is to identify market growth opportunities.

Data Analytics 89

Data Analytics Analytics Big Data Predictive Analytics 89