Smarten

NOVEMBER 23, 2023

Our self-serve, natural language processing (NLP) approach to business user analytics is based on cutting-edge technology and an intuitive interface designed that supports the Citizen Data Scientist initiative, ” says Patel. The Smarten solution requires no data science skills, knowledge of statistical analysis or BI expertise.

Publishing 62

Publishing Marketing Analytics Predictive Modeling 62

Smart Data Collective

SEPTEMBER 19, 2019

Machine learning has played a very important role in the development of technology that has a large impact on our everyday lives. However, machine learning is also influencing the direction of technology that is not as commonplace. Text to speech technology is a prime example. The Machine Learning Technology That Drives TTS.

Machine Learning 82

Machine Learning Technology Deep Learning Predictive Modeling 82

Smarten

MARCH 7, 2024

While none of these is considered ‘new’ in the market today, the combination of essential components and the leveraging of new technologies and features is key to keeping augmented analytics fresh and usable for the average business user. Augmented Analytics with ALL Gartner Classified Essential Components AND Auto Insights Too!

Analytics 67

Analytics Predictive Modeling Machine Learning Visualization 67

CIO Business Intelligence

MAY 21, 2024

Multimodal foundation models combine multiple modes, such as text, audio, image, and video, and are capable of generating captions for images or answering questions about images, according to IDC’s Market Glance: Generative Foundation AI Models.

IT 119

IT Cost-Benefit Experimentation Forecasting 119

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics in business Predictive analytics draws its power from a wide range of methods and technologies, including big data, data mining, statistical modeling, machine learning, and assorted mathematical processes. Airlines frequently use predictive analytics to set ticket prices reflecting past travel trends.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

CIO Business Intelligence

MAY 9, 2024

To date, many of these positions are with technology vendors or at government entities in the wake of recent AI mandates. That includes IT, to align AI technologies with existing infrastructure; HR, on workforce development; finance, to understand funding and new business cost models; and legal and compliance, to ensure responsible use of AI.

Risk Management 138

Risk Management Risk Cost-Benefit Technology 138

CIO Business Intelligence

JUNE 14, 2023

Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications. The online program includes an additional nonrefundable technology fee of US$395 per course.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

IBM Big Data Hub

MARCH 7, 2023

The specific approach we took required the use of both AI and edge computing to create a predictive model that could process years of anonymized data to help doctors make informed decisions. The impact of the Innocens technology is being investigated in clinical trials and is not yet commercially available.

Risk 52

Risk Technology Informatics Predictive Modeling 52

Jedox

JULY 23, 2019

You do not have to be a data scientist to recognize the impact of technology on FP&A is and will continue to be significant. One of the biggest challenges of automation (Robotic Process Automation) and artificial intelligence/machine learning technologies is our current mindset. Exploring the technology opportunities in FP&A.

Technology 52

Technology Forecasting Finance Data-driven 52

Smarten

AUGUST 5, 2022

Can Predictive Analytics Provide Accurate Results for My Business Without Burdening My Users? If your business is struggling to forecast and predict outcomes and results, your management team is probably considering predictive analytics. Understanding Assisted Predictive Modeling.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Forecasting 52

Smart Data Collective

MARCH 3, 2021

Therefore, they should be willing to integrate technology into their processes and do alternative fee agreements to use big data to accelerate cases. But if they use predictive analytics, they can determine how much each case pays out, considering factors as the number of previous cases filled with the same judge. Final thoughts.

Analytics 126

Analytics Big Data Predictive Modeling Insurance 126

CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

CIO Business Intelligence

DECEMBER 11, 2023

They can even optimize capital allocation decisions, such as dividend distribution versus share buy-back, by rapidly modeling multiple scenarios and market conditions.

Finance 105

Finance Forecasting IoT Predictive Modeling 105

IBM Big Data Hub

APRIL 1, 2024

Now, enterprises can adopt the foundational principles of this technology and apply them within their operations, further enriched by contextualization and security. With IBM watsonx™ Assistant, companies can build large language models and train them using proprietary information, all while helping to ensure the security of their data.

Predictive Analytics 83

Predictive Analytics Sales Enterprise Predictive Modeling 83

IBM Big Data Hub

NOVEMBER 29, 2023

.” No-code and low-code solutions for time series data exploration IBM introduced Downer to the realm where no-code and low-code solutions could build predictive models to provide faster insights. Downer was able to streamline modeling times with watsonx.ai “These tools offer an array of analytics options.

Predictive Modeling 69

Predictive Modeling Data-driven Data Science Forecasting 69

Smart Data Collective

JULY 24, 2023

The Intersection of AI and VMS AI has penetrated virtually every aspect of business operations, from customer service to human resources, and VMS is a prime candidate for the application of AI technologies. Key AI Technologies Enhancing VMS Several AI technologies are at the forefront of enhancing VMS.

Management 87

Management Cost-Benefit Data-driven Predictive Analytics 87

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Access to Flexible, Intuitive Predictive Modeling. Forecasting. Classification. Hypothesis Testing.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

CIO Business Intelligence

OCTOBER 5, 2023

As chief digital and technology officer at CBRE, Davé recognized early that the commercial real estate industry was ripe for AI and machine learning enhancements, and he and his team have tested countless use cases across the enterprise ever since. Let’s start with the models. And it’s unlocking a lot of productivity.”

Experimentation 130

Experimentation Strategy Machine Learning Interactive 130

IBM Big Data Hub

MAY 1, 2023

Along with the explosion of information technology in the 1950’s, the term ‘artificial intelligence’ (AI) was coined by John McCarthy in 1956. The early versions of AI were capable of predictive modelling (e.g., AI is still an emerging technology and the road to implementation will have challenges.

Insurance 82

Insurance Predictive Modeling Cost-Benefit Statistics 82

IBM Big Data Hub

JANUARY 25, 2024

We all want to see our ideal human values reflected in our technologies. We expect technologies such as artificial intelligence (AI) to not lie to us, to not discriminate, and to be safe for us and our children to use. Consider the diversity prediction theorem. In reality, a holistic, socio-technical approach is required.

Predictive Modeling 90

Predictive Modeling Modeling Risk Statistics 90

IBM Big Data Hub

MAY 18, 2023

This report outlines the combination of traditional decision automation tools with machine learning models and other technologies. ” “IBM has strengths in decision intelligence technologies, authoring tools, explainability, and ModelOps.”

Reporting 94

Reporting Scorecard Predictive Modeling Machine Learning 94

KDnuggets

SEPTEMBER 23, 2019

Register now for this webinar, Sep 25 @ 12 PM ET, for a clear approach on how to apply machine learning language technology to massive, unstructured data sets in order to create predictive models of what may be the next “it” ingredient, color, flavor or pack size.

Unstructured Data 83

Unstructured Data Predictive Modeling Machine Learning Modeling 83

Smarten

OCTOBER 25, 2023

Mobile BI is a system that integrates enterprise data and makes it accessible on mobile devices using technology, analytics, and visualization to present historical or real-time information for analysis. ‘Mobile BI is about making data accessible to more people and encouraging team members to use that data on a day-to-day basis.’

Visualization 67

Visualization Predictive Modeling Machine Learning Business Intelligence 67

Smarten

MAY 29, 2023

World-renowned technology analysis firm Gartner defines the role this way, ‘A citizen data scientist is a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics. Automatic generation of models.

Prescriptive Analytics 52

Prescriptive Analytics Predictive Modeling Digital Transformation Business Objectives 52

IBM Big Data Hub

AUGUST 22, 2023

Digital twins and integrated data For the presentation layer, you can leverage various capabilities, such as 3D modeling, augmented reality and various predictive model-based health scores and criticality indices. At IBM, we strongly believe that open technologies are the required foundation of the digital twin.

Unstructured Data 79

Unstructured Data Consulting Visualization IoT 79

CIO Business Intelligence

JULY 24, 2023

The transformation, which started in partnership with Microsoft in 2016, is also enabling LaLiga to expand its business by offering technology platforms and services to the sports and entertainment industry at large. It has also developed predictive models to detect trends, make predictions, and simulate results.

Broadcasting 98

Broadcasting Recreation/Entertainment Testing Machine Learning 98

Smart Data Collective

MARCH 23, 2022

AI technology is becoming an integral part of many industries. With the advances made in microprocessor technology in the early 1970s, the automotive industry soon developed their first, albeit primitive, versions of smart cars. There are a lot of benefits of utilizing AI technology in the automotive sector.

IoT 108

IoT Internet of Things Testing Cost-Benefit 108

CIO Business Intelligence

OCTOBER 13, 2023

Businesses are turning to gen AI to streamline business processes, develop proprietary AI technology, and reduce manual efforts in order to free up employees to take on more intensive tasks. Generative AI is quickly changing the landscape of the business world, with rapid adoption rates across nearly every industry.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Smarten

APRIL 25, 2024

Artificial Intelligence (AI) and Machine Learning (ML) elements support Citizen Data Scientists and help users prepare data, achieve automated data insights and create, share and use predictive models.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. Proactive Risk Management : BI tools enable organizations to proactively identify potential risks through predictive modeling and trend analysis.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

BizAcuity

APRIL 1, 2023

The underlying technology used to convert the scanned image to machine readable format is called ‘Optical Character Recognition’ (OCR) or text recognition analysis. There are a number of open-source ML platforms like KNIME that can also be leveraged to detect and predict suspicious behavior.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

DataKitchen

JUNE 19, 2023

The major value here is a clear and comprehensive understanding of your technology’s status. You can proactively spot and address issues before they escalate and ensure your technology stack runs smoothly and cost-effectively. The above image shows an example custom ‘data in use’ test of a predictive model and API.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

BizAcuity

JANUARY 18, 2023

The underlying technology used to convert the scanned image to machine readable format is called ‘Optical Character Recognition’ (OCR) or text recognition analysis. Predictive modeling for flagging suspicious activity. Steps to building a highly accurate predictive model for AML. These include-.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smarten

JUNE 17, 2022

CERT-IN , or the Indian Computer Emergency Response Team , is an India government-approved organization for upholding information technology (IT) security, and is a well-renowned application security standard, respected within the technology community.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

Smarten

APRIL 18, 2023

Gartner predicts that, ‘50% of organizations will adopt modern data quality solutions to better support their digital business initiatives.’ It is nearly impossible to ensure the success of Digital Transformation initiatives without including business users and team members. Involving the team in these discussions is crucial.

Digital Transformation 52

Digital Transformation Predictive Modeling Data Quality Enterprise 52

IBM Big Data Hub

OCTOBER 5, 2022

Choosing the right technology to support xP&A for your strategic goals. With the right technology-foundation in place, it becomes easier to tackle the business alignment questions, starting with designing an end-to-end integrated business planning process that will lead efficiently to a consensus forecast (or plan).

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

Smart Data Collective

APRIL 21, 2022

To optimize solar farm operations, the farm will require the incorporation of IoT technologies. The IoT technologies enable the integration of more distributed resources into the grid. There are other different known ways in which the IOT technologies can improve grid management. It improves asset performance.

IoT 99

IoT Internet of Things Forecasting Predictive Modeling 99