David Menninger's Analyst Perspectives

MARCH 9, 2022

Today, organizations understand the importance of good external data that can be integrated with internal data to train machine learning models. Our Machine Learning Dynamic Insights research showed that external data adds a significant value in gaining competitive advantage, improving customer experience and increasing sales.

Machine Learning 264

Machine Learning Modeling Sales IT 264

Analytics Vidhya

OCTOBER 28, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article, we will cover everything from gathering data to preparing the steps for model training and evaluation. Diverse fields such as sales forecasting and […].

Modeling 271

Modeling Deep Learning Forecasting Sales 271

David Menninger's Analyst Perspectives

JANUARY 15, 2025

External data is necessary for many functions, including useful and accurate competitive intelligence used by sales and marketing groups. External data enhances the predictive capabilities of models by dealing with the problem of endogeneityspecifically, the issue of omitted variablesin forecasting and analysis.

Predictive Modeling 130

Predictive Modeling Forecasting Predictive Analytics Statistics 130

Analytics Vidhya

SEPTEMBER 9, 2021

This article was published as a part of the Data Science Blogathon Introduction Hello everyone, in this article we will pick the use case of sequence modelling, which is time series forecasting. Time series is all around us from predicting sales to predicting traffic and more. A simple example of time series is the amount of […].

Deep Learning 382

Deep Learning Forecasting Sales Data Science 382

CIO Business Intelligence

JUNE 6, 2024

Customer relationship management (CRM) software provider Salesforce on Thursday added new capabilities to its Sales Cloud and Service Cloud with updates to its Einstein AI and Data Cloud offerings. The company also added another capability that it calls Sales Signals to the Sales Cloud to help build a sales pipeline.

Sales 126

Sales Unstructured Data Enterprise Dashboards 126

CIO Business Intelligence

DECEMBER 11, 2024

To solve the problem, the company turned to gen AI and decided to use both commercial and open source models. With security, many commercial providers use their customers data to train their models, says Ringdahl. Thats one of the catches of proprietary commercial models, he says. Its possible to opt-out, but there are caveats.

Cost-Benefit 115

Cost-Benefit Modeling Marketing Sales 115

CIO Business Intelligence

DECEMBER 10, 2024

What success looks like can vary widely and range from reducing a call centers escalation rates, a food distributors sales order processing time, or a professional services companys new employee onboarding time, to an airline that personalizes customer communications or a media company that provides real-time language translation.

Sales 143

Sales Metrics Data-driven Measurement 143

CIO Business Intelligence

FEBRUARY 4, 2025

Instead of seeing digital as a new paradigm for our business, we over-indexed on digitizing legacy models and processes and modernizing our existing organization. This only fortified traditional models instead of breaking down the walls that separate people and work inside our organizations. And its testing us all over again.

Digital Transformation 144

Digital Transformation Optimization Sales Enterprise 144

Analytics Vidhya

NOVEMBER 1, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article, we will cover everything from gathering data to preparing the steps for model training and evaluation. Diverse fields such as sales forecasting and […].

Deep Learning 319

Deep Learning Forecasting Sales Data Science 319

AWS Big Data

OCTOBER 21, 2024

As a producer, you can also monetize your data through the subscription model using AWS Data Exchange. This company encompasses multiple lines of businesses, specializing in the sale of various scientific equipment. To achieve this, they plan to use machine learning (ML) models to extract insights from data.

Sales 105

Sales Data-driven Data Processing Key Performance Indicator 105

CIO Business Intelligence

FEBRUARY 6, 2025

The hype around large language models (LLMs) is undeniable. Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. Even basic predictive modeling can be done with lightweight machine learning in Python or R. This article reflects some of what Ive learned. Ive seen this firsthand.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

O'Reilly on Data

APRIL 30, 2024

Others retort that large language models (LLMs) have already reached the peak of their powers. These are risks stemming from misalignment between a company’s economic incentives to profit from its proprietary AI model in a particular way and society’s interests in how the AI model should be monetised and deployed.

Risk 317

Risk Advertising Cost-Benefit Sales 317

CIO Business Intelligence

JANUARY 15, 2025

But some companies, particularly in the IT sector, now appear to be reevaluating their business models and will consider selling non-core lines of business and products to fund AI projects, says James Brundage, global and Americas technology sector leader at EY, an IT and tax advisory firm.

Sales 130

Sales Data-driven Marketing Optimization 130

Analytics Vidhya

MARCH 29, 2022

Introduction to Linear Regression Image 1: Sales vs Budget data with a linear model representation Linear regression is a statistical method that presumes a linear relationship between the input and the output variables. This article was published as a part of the Data Science Blogathon.

Statistics 271

Statistics Sales Data Science Publishing 271

Analytics Vidhya

MAY 1, 2023

From customer service to sales, virtual assistants to voice assistants, chatbot evolution has taken place in everyday lives and in the way companies communicate with their users. Introduction Chatbots have become an integral part of the digital landscape, revolutionizing the way businesses interact with their customers.

Sales 434

Sales Interactive Technology Analytics 434

O'Reilly on Data

DECEMBER 12, 2023

If the output of a model can’t be owned by a human, who (or what) is responsible if that output infringes existing copyright? In an article in The New Yorker , Jaron Lanier introduces the idea of data dignity, which implicitly distinguishes between training a model and generating output using a model.

Modeling 335

Modeling Software Sales Statistics 335

AWS Big Data

NOVEMBER 7, 2024

Custom context enhances the AI model’s understanding of your specific data model, business logic, and query patterns, allowing it to generate more relevant and accurate SQL recommendations. Your queries, data and database schemas are not used to train a generative AI foundational model (FM). This generates a SQL query.

Metadata 97

Metadata Sales Data Warehouse Optimization 97

CIO Business Intelligence

MAY 29, 2024

Because large enterprises use massive amounts of data, this critical asset can quickly become unmanageable and can sabotage the accuracy and efficiency of hard-working sales teams. This means when a sales representative is looking for a specific product, AI doesn’t need perfect data to identify the correct material number.

Sales 102

Sales Machine Learning Modeling Data Collection 102

Rocket-Powered Data Science

SEPTEMBER 20, 2021

For example, if I am searching for customer sales numbers, different datasets may label that “ sales ”, or “ revenue ”, or “ customer_sales ”, or “ Cust_sales ”, or any number of other such unique identifiers. The semantic layer bridges the gaps between the data cloud, the decision-makers, and the data science modelers.

Data Science 286

Data Science Forecasting Business Intelligence Sales 286

CIO Business Intelligence

DECEMBER 30, 2024

Small language models and edge computing Most of the attention this year and last has been on the big language models specifically on ChatGPT in its various permutations, as well as competitors like Anthropics Claude and Metas Llama models. He recommends that companies keep each individual agent as small as possible.

ROI 141

ROI Software Modeling Interactive 141

AWS Big Data

OCTOBER 29, 2024

By building the CDH, BMW realized improved efficiency, performance and sustainability throughout the automotive lifecycle, from design to after-sales services. For example, a global sales dataset is created by a team of data engineers with the data provider role.

Data Lake 89

Data Lake Sales Metadata Machine Learning 89

CIO Business Intelligence

NOVEMBER 14, 2024

“Our digital transformation has coincided with the strengthening of the B2C online sales activity and, from an architectural point of view, with a strong migration to the cloud,” says Vibram global DTC director Alessandro Pacetti.

ROI 119

ROI B2B Business Objectives Digital Transformation 119

CIO Business Intelligence

NOVEMBER 16, 2023

A large language model (LLM) is a type of gen AI that focuses on text and code instead of images or audio, although some have begun to integrate different modalities. But there’s a problem with it — you can never be sure if the information you upload won’t be used to train the next generation of the model. And yes, they’re working.”

Modeling 139

Modeling Enterprise Sales Marketing 139

CIO Business Intelligence

MARCH 6, 2024

This isn’t just an IT or sales transformation; it’s a complete company transformation. What has IT’s role been in the transformation to a SaaS model? We built that end-to-end data model and process from scratch while we ran the old business. Today, we’re a $1.6 The architecture was a means to get there.

Modeling 116

Modeling Management IT Metrics 116

CIO Business Intelligence

MARCH 19, 2025

Meanwhile, in December, OpenAIs new O3 model, an agentic model not yet available to the public, scored 72% on the same test. Were developing our own AI models customized to improve code understanding on rare platforms, he adds. SS&C uses Metas Llama as well as other models, says Halpin. Devin scored nearly 14%.

Software 143

Software Risk Enterprise Cost-Benefit 143

O'Reilly on Data

JANUARY 17, 2023

Building Models. A common task for a data scientist is to build a predictive model. You’ll try this with a few other algorithms, and their respective tuning parameters–maybe even break out TensorFlow to build a custom neural net along the way–and the winning model will be the one that heads to production.

Machine Learning 363

Machine Learning Predictive Modeling Software Modeling 363

datapine

OCTOBER 7, 2020

We will discuss marketing, retail, human resources, sales, logistics, IT project management, and customer service examples that can grow the operational efficiency and decrease costs. The CPC (cost-per-click) overview of campaigns is an operational metric that expounds on the standard pricing model in online advertising.

KPI 269

KPI Metrics Sales Visualization 269

CIO Business Intelligence

OCTOBER 10, 2022

This model encourages leaders to demonstrate authentic, strong leadership with the idea that employees will be inspired to follow suit. For a deeper look at the transformational leadership model, see “ How to apply transformational leadership at your company.”. Transformational leadership model.

Modeling 145

Modeling Digital Transformation Software Manufacturing 145

AWS Big Data

NOVEMBER 27, 2024

This enables the line of business (LOB) to better understand their core business drivers so they can maximize sales, reduce costs, and further grow and optimize their business. After the data is in Amazon Redshift, dbt models are used to transform the raw data into key metrics such as ticket trends, seller performance, and event popularity.

Data Warehouse 94

Data Warehouse Analytics Testing Modeling 94

CIO Business Intelligence

NOVEMBER 5, 2024

In the last year, 8 billion transactions and $27 billion in sales for our merchants went through the network that wouldn’t have before because of how we have deployed AI. Explore differing AI operating models to find the one that best suits their needs. It looks at why a transaction was declined and recommends when to retry.

B2B 132

B2B Machine Learning Technology Marketing 132

O'Reilly on Data

SEPTEMBER 17, 2024

Chain-of-thought prompts often include some examples of problems, procedures, and solutions that are done correctly, giving the AI a model to emulate. Most AIs will use that information to train future versions of the model. These prompts can get very long and elaborate, but the extra work pays off in the quality of the response.

Modeling 303

Modeling Reporting Sales Testing 303

CIO Business Intelligence

NOVEMBER 4, 2024

Much like finance, HR, and sales functions, organizations aim to streamline cloud operations to address resource limitations and standardize services. AI models rely on vast datasets across various locations, demanding AI-ready infrastructure that’s easy to implement across core and edge.

Finance 89

Finance Sales Reporting Optimization 89

David Menninger's Analyst Perspectives

FEBRUARY 8, 2021

Analytics vendors have made it easier to build and deploy models, and AI/ML is being embedded into many types of applications. Organizations that want to build and deploy their own AI/ML models need to be realistic about the capabilities that are available today. There is more data available to analyze.

Machine Learning 338

Machine Learning Modeling Analytics Sales 338

AWS Big Data

DECEMBER 4, 2024

From the Unified Studio, you can collaborate and build faster using familiar AWS tools for model development, generative AI, data processing, and SQL analytics. Amazon SageMaker Unified Studio (preview) provides an integrated data and AI development environment within Amazon SageMaker.

Visualization 102

Visualization Sales Data-driven Analytics 102

datapine

MARCH 25, 2022

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. Now, BA can help you understand why did sales spike specifically in New York.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264