Expert insights. Personalized for you.
In the last few years a lot of research has been done into how to automate the process of building machine learning models. There is now a wide array of open source libraries offering AutoML. How do they relate to one another, and more importantly, how do they compare? To answer that, we’d need an independent team to test all the software packages under controlled conditions on a wide range of datasets. Featured Tech Blog MORE
Case study: Commercial Investment Optimizer for a Global Brewery. A global manufacturer of consumer goods wanted to optimize their commercial investment across media channels to maximize their volume sales & profitability. MORE
Most everyday consumers probably don't think much about food safety unless things go wrong. They assume food producers take all the necessary precautions, often consuming a massive assortment of foods for years without ever becoming sick. MORE
Data mining in Search Engine Optimization is a new concept and has gained importance in the digital marketing field. With the help of big data, digital marketers can easily keep a track as well as analyze the keyword, backlinks, on-page optimization, as well as other important search areas for optimizing their efforts. The post How A Data Mining Approach For Search Engine Optimization Works appeared first on SmartData Collective. MORE
The post Alternative Hyperparameter Optimization Technique You need to Know – Hyperopt appeared first on Analytics Vidhya. Introduction When working on a machine learning project, you need to follow a series of steps until you reach your goal, one of the. MORE
By using object storage to tier hot and cold data, many organizations can reap the benefits of optimized flash storage while still maintaining their data center’s ROI goals. Why optimized flash storage is important. MORE
Their main focus on collecting big data has been to optimize their business functions. Big data is being used for more effective marketing, optimal customer service, expediting research and development, maximizing product quality and much more. It gives him the opportunity to optimize their entire design process to the degree needed to create cutting edge IoT devices. MORE
One of the most important benefits of data analytics with lead generation and optimization. The post Importance Of Using Data Analytics To Optimize Lead Pipelines appeared first on SmartData Collective. Big data is utilized in many facets of business. MORE
As organizations begin to monitor their unique recovery process and understand the shifting dynamics of the economic landscape following the global health crisis, many face the reality, albeit daunting, that their business was not equipped to pivot their operations in the face of mass disruption. Dataiku Product Featured MORE
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With the rise of shipping and direct delivery, they are in greater need of new ways to optimize the logistics of transport and storage. Route optimization. In logistics and supply chain management processes, big data is used for route optimization. Distribution and production networks face many challenges when it comes to transporting large numbers of products. MORE
Case study: Route Optimization for a leading FMCG company. Given the large demand for its products, they wanted to optimize the number of salesmen and their travel costs, given different constraints. Business Context. MORE
Big data has played a very important role in conversion rate optimization. Audrey Throne, an author with Big Data Analytics News, has shared some details about the benefits of big data in conversion rate optimization. However, big data only helps with conversion rate optimization if it is used properly. One of the most important data-driven processes in marketing is CRO or conversion rate optimization. Are you missing a lot of optimizations on your landing pages? MORE
Industry Perspective Predictive Analytics BI & Analytics Artificial Intelligence Prescriptive Analytics Automation Solution Review automated machine learning Optimizationby Jen Underwood. Why didn’t I think of that? Sometimes we get caught up in our day-to-day lives and don’t stop to see if we are solving the right, bigger picture problems. That’s. Read More. MORE
The post Data Analytics Optimizes Shipping through KPI Tracking appeared first on SmartData Collective. Big data is affecting every element of logistics in the economy. One facet of modern business that doesn’t get as much attention as it should is shipping, even though big data is having a profound impact on its future. Last June, a paper prepared by Paterson Simmons showed that big data is a driving force behind the shipping industry. MORE
In the search for a solution that will access, organize, and cleanse their data, enterprises have no alternative but to invest in high-end data optimization software. This can only be achieved by having a system that will easily optimize data on your cloud and on-premises IT infrastructure resources. The benefits of having such data optimization solution are numerous and these include; 1. MORE
Marketers can significantly benefit from using big data to optimize their strategies on visual social networks. The problem is not that big data can’t help marketers optimize their strategies on these visual social media platforms. The post Data Optimization Facilitates Pinterest And Instagram Marketing appeared first on SmartData Collective. Big Data Marketing SmartData Collective Exclusive data optimization Instagram Pinterest MORE
Add mathematical optimization and you can go even further. We have just published a new white paper – The Customer Journey to Decision Optimization. Designed to help you optimize your decisions and aimed at rules and business analysts, this paper lays out the proven steps to adopting decision optimization. It will show you the value of decision optimization and identify the critical success factors. MORE
Critical during this time is i nventory optimization, monitoring closely what’s on hand, as well as projected inventory levels to uncover areas to address. Independent wholesaler American Metals Supply (AMS) provides sheet and coil steel, prefabricated duct and fittings, and HVAC products to commercial construction projects. The company operates out of eight locations serving customers in twelve states across the middle of the U.S. MORE
There’s a lot you can do right now to optimize your decisions. And you can optimize your decisions mathematically. What does the future hold for decision optimization? These models will improve any optimization that uses them. They don’t eliminate the need for experiments, but they do add a great deal of value when optimizing decisions. Decision trees are often used in decision management and decision optimization. Optimal Decision-Making. MORE
In the beginning, it was merely optimizing output based on a few constraints. Back when I was in school, one of the most difficult classes for my business degree was quantitative analysis. It wasn’t just hard, it was laborious to translate and solve business conditions and problems into algebraic equations by hand. As the course progressed, the equations became longer and more complicated in order to solve more complex problems. MORE
Without a fundamental understanding of how a customer makes a buying decision and how customers choose a product or service, the marketing and advertising process is based only on guesswork, and that guesswork is bound to result in lost revenue and poor optimization of the marketing budget. Learn More: Marketing Optimization. View the Marketing Optimization Use Case Slide Share. Contact Us today to discover the benefits of predictive analytics and marketing optimization. MORE
The post Optimizing Exploratory Data Analysis using Functions in Python! This article was published as a part of the Data Science Blogathon. “The more, the merrier” It is a perfect saying for the amount. appeared first on Analytics Vidhya. MORE
Overview Writing optimized Python code is a crucial piece in your data science skillset Here are four methods to optimize your Python code (with. The post 4 Unique Methods to Optimize your Python Code for Data Science appeared first on Analytics Vidhya. Data Science Python Advanced Python live coding optimize python pandas python python MORE
The post Optimized Planning with Artificial Intelligence appeared first on Jedox BI Blog. A good FP&A solution embraces the power of AI and should already have incorporated it into its technology. Over the past few years, the concept of Artificial Intelligence or ‘AI’, has finally been accepted into the mainstream and is dominating conversations around the world. MORE
This article covers how to perform hyperparameter optimization using a sequential model-based optimization (SMBO) technique implemented in the HyperOpt Python package. Feature engineering and hyperparameter optimization are two important model building steps. While this debate has not yet been settled, it is evident that hyperparameter optimization takes up considerable computational resources and time during the model building phase of the Machine Learning lifecycle. MORE
Take a look at how large-scale, sequential optimization can help assess the infection rates of larger groups, promoting faster calls-to-action to contain the pandemic spread! The post Whitepaper: Pooled Sample Testing: Optimal Strategy Determination using BRIDGEi2i Optimizer appeared first on Home Page – BRIDGEi2i: AI for the Digital Enterprise | Analytics and AI solutions for Enterprises. MORE
The post Data Analytics Play Huge Role In Optimizing Organization Management appeared first on SmartData Collective. Analytics Big Data SmartData Collective Exclusive optimizing organizationThe number of companies utilizing data analytics has skyrocketed in recent years. MORE
Train, Export, Optimize (TensorRT), Infer (Jetson Nano) appeared first on Analytics Vidhya. Part 1 — Detailed steps from training a detector on a custom dataset to inferencing on jetson nano board or cloud using TensorFlow 1.15. The post TensorFlow Object Detection — 1.0 & 2.0: MORE
This creates a rich set of information with which to optimize your decision, but to exploit it you will need to use mathematical models to calculate the different permutations and an optimization engine or solver to find the best one. But decision optimization is not a one-off exercise. But to find an optimal approach, you’ll need to use math. — Other posts in this series: The Customer Journey to Decision Optimization. MORE
Supply chain optimization means lowering costs and improving the performance of the production cycle with software and know-how. MORE
This third part in a series about how to "ultralearn" data science will guide you through how to optimize your learning through five valuable techniques. 2019 Dec Opinions Advice Data Science Optimization Ultralearn MORE
Decision-makers across many different industries are making complex decisions every day that involve optimizing trade-offs to make the right business choices MORE
73 The post How To Use Big Data To Deliver Optimized Customer Experiences appeared first on SmartData Collective. Business success begins and ends with customer experience. According to recent studies, 90 percent of buyers would gladly spend more for a better customer experience. That’s exactly why understanding what an improved experience means for customers is so important. MORE
The good news is that optimizing ERP reporting is not as difficult as many expect, especially compared with proceeding with reporting as usual. The post How to Optimize Your ERP Reporting Quickly and Easily appeared first on insightsoftware. Why is ERP reporting so important? MORE
Strategy: Optimizing finance processes. In order to successfully drive process optimization forward, it is important to be aware of the potential stumbling blocks. The goal is therefore the “democratization” of planning, meaning key stakeholders all play a valuable role to help progress the organization toward process optimization. Where to begin process optimization. The post Target: Process Optimization appeared first on Jedox. MORE
Case study: Demand Elasticity Estimation and Price Optimization for an Insurance Major. The client is a P&C insurance leader in Asia wanted to optimize their price & demand elasticity estimation. MORE
James, thank you for the opportunity to guest blog in your series on Decision Optimization. I’m a veteran of 35 years in Retail Financial Services, 25 of which working in Decision Management, the last 17 focused on Decision Optimization, I currently work as a Product Manager in FICO’s Optimization group, focused on the software solutions we develop for business users & business analysts. Optimal Decision-Making. New Analytic Approaches in Decision Optimization. MORE
In this TensorFlow tutorial, you’ll learn the impact of optimizing both operators and entire graphs, how to efficiently organize data in training and testing datasets to minimize data shuffling, and how to identify a well-optimized model using Anaconda and ActivePython. MORE
To learn more, I sat down with Virginie Grandhaye, offering manager for IBM Decision Optimization. Virginie has been bringing products to market to help our clients optimize decisions at speed by combining human and machine intelligence Today, “doing more with less” is a key principle driving business strategy across many resource-intensive industries. Organisations are looking to get more out of artificial intelligence (AI) and machine learning (ML) than just great insights. MORE
Optimization Related Topics Analytics Vidhya
SEPTEMBER 17, 2020
The post Alternative Hyperparameter Optimization Technique You need to Know – Hyperopt appeared first on Analytics Vidhya. Introduction When working on a machine learning project, you need to follow a series of steps until you reach your goal, one of the.
Analytics Vidhya
OCTOBER 4, 2020
The post Optimizing Exploratory Data Analysis using Functions in Python! This article was published as a part of the Data Science Blogathon. “The more, the merrier” It is a perfect saying for the amount. appeared first on Analytics Vidhya.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Analytics Vidhya
SEPTEMBER 18, 2019
Overview Writing optimized Python code is a crucial piece in your data science skillset Here are four methods to optimize your Python code (with. The post 4 Unique Methods to Optimize your Python Code for Data Science appeared first on Analytics Vidhya. Data Science Python Advanced Python live coding optimize python pandas python python
Phocas
SEPTEMBER 7, 2020
Supply chain optimization means lowering costs and improving the performance of the production cycle with software and know-how.
Advertiser: ZoomInfo
Every sales forecasting model has a different strength and predictability method. It’s recommended to test out which one is best for your team. This way, you’ll be able to further enhance – and optimize – your newly-developed pipeline. Your future sales forecast? Sunny skies (and success) are just ahead!
Analytics Vidhya
SEPTEMBER 16, 2020
Train, Export, Optimize (TensorRT), Infer (Jetson Nano) appeared first on Analytics Vidhya. Part 1 — Detailed steps from training a detector on a custom dataset to inferencing on jetson nano board or cloud using TensorFlow 1.15. The post TensorFlow Object Detection — 1.0 & 2.0:
Smart Data Collective
SEPTEMBER 9, 2020
The post Data Analytics Play Huge Role In Optimizing Organization Management appeared first on SmartData Collective. Analytics Big Data SmartData Collective Exclusive optimizing organizationThe number of companies utilizing data analytics has skyrocketed in recent years.
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Decision Management Solutions
APRIL 22, 2020
This creates a rich set of information with which to optimize your decision, but to exploit it you will need to use mathematical models to calculate the different permutations and an optimization engine or solver to find the best one. But decision optimization is not a one-off exercise. But to find an optimal approach, you’ll need to use math. — Other posts in this series: The Customer Journey to Decision Optimization.
Sirius Computer Solutions
SEPTEMBER 9, 2020
By using object storage to tier hot and cold data, many organizations can reap the benefits of optimized flash storage while still maintaining their data center’s ROI goals. Why optimized flash storage is important.
Phocas
APRIL 21, 2020
Critical during this time is i nventory optimization, monitoring closely what’s on hand, as well as projected inventory levels to uncover areas to address. Independent wholesaler American Metals Supply (AMS) provides sheet and coil steel, prefabricated duct and fittings, and HVAC products to commercial construction projects. The company operates out of eight locations serving customers in twelve states across the middle of the U.S.
bridgei2i
SEPTEMBER 18, 2020
Case study: Commercial Investment Optimizer for a Global Brewery. A global manufacturer of consumer goods wanted to optimize their commercial investment across media channels to maximize their volume sales & profitability.
Advertiser: ZoomInfo
Finding a vendor to cleanse and optimize your marketing database can be difficult if you don’t know what to look for. Download the eBook to get the most out of your database cleanse and find an appropriate vendor for your B2B marketing objectives.
Smart Data Collective
MAY 22, 2019
Marketers can significantly benefit from using big data to optimize their strategies on visual social networks. The problem is not that big data can’t help marketers optimize their strategies on these visual social media platforms. The post Data Optimization Facilitates Pinterest And Instagram Marketing appeared first on SmartData Collective. Big Data Marketing SmartData Collective Exclusive data optimization Instagram Pinterest
|
Smart Data Collective
SEPTEMBER 4, 2020
Data mining in Search Engine Optimization is a new concept and has gained importance in the digital marketing field. With the help of big data, digital marketers can easily keep a track as well as analyze the keyword, backlinks, on-page optimization, as well as other important search areas for optimizing their efforts. The post How A Data Mining Approach For Search Engine Optimization Works appeared first on SmartData Collective.
Domino Data Lab
SEPTEMBER 3, 2019
This article covers how to perform hyperparameter optimization using a sequential model-based optimization (SMBO) technique implemented in the HyperOpt Python package. Feature engineering and hyperparameter optimization are two important model building steps. While this debate has not yet been settled, it is evident that hyperparameter optimization takes up considerable computational resources and time during the model building phase of the Machine Learning lifecycle.
Smarten
MAY 16, 2019
Without a fundamental understanding of how a customer makes a buying decision and how customers choose a product or service, the marketing and advertising process is based only on guesswork, and that guesswork is bound to result in lost revenue and poor optimization of the marketing budget. Learn More: Marketing Optimization. View the Marketing Optimization Use Case Slide Share. Contact Us today to discover the benefits of predictive analytics and marketing optimization.
Jen Underwood
NOVEMBER 12, 2019
Industry Perspective Predictive Analytics BI & Analytics Artificial Intelligence Prescriptive Analytics Automation Solution Review automated machine learning Optimizationby Jen Underwood. Why didn’t I think of that? Sometimes we get caught up in our day-to-day lives and don’t stop to see if we are solving the right, bigger picture problems. That’s. Read More.
Advertiser: Data Robot
The new DataRobot whitepaper, Data Science Fails: Building AI You Can Trust, outlines eight important lessons that organizations must understand to follow best data science practices and ensure that AI is being implemented successfully.
Smart Data Collective
SEPTEMBER 17, 2020
One of the most important benefits of data analytics with lead generation and optimization. The post Importance Of Using Data Analytics To Optimize Lead Pipelines appeared first on SmartData Collective. Big data is utilized in many facets of business.
bridgei2i
AUGUST 28, 2020
Case study: Route Optimization for a leading FMCG company. Given the large demand for its products, they wanted to optimize the number of salesmen and their travel costs, given different constraints. Business Context.
Decision Management Solutions
MARCH 4, 2020
Add mathematical optimization and you can go even further. We have just published a new white paper – The Customer Journey to Decision Optimization. Designed to help you optimize your decisions and aimed at rules and business analysts, this paper lays out the proven steps to adopting decision optimization. It will show you the value of decision optimization and identify the critical success factors.
Smart Data Collective
APRIL 20, 2020
Big data has played a very important role in conversion rate optimization. Audrey Throne, an author with Big Data Analytics News, has shared some details about the benefits of big data in conversion rate optimization. However, big data only helps with conversion rate optimization if it is used properly. One of the most important data-driven processes in marketing is CRO or conversion rate optimization. Are you missing a lot of optimizations on your landing pages?
Advertiser: ZoomInfo
For recruiters to build their pipeline and search for the next candidate, they need to ensure they have access to the most accurate data on the market. More specifically, having access to updated information lets you engage faster with ideal candidates searching the job market. To begin getting these candidates in the right positions, it includes utilizing updated contact data and enhancing your outreach strategy for improved effectiveness.
Decision Management Solutions
MAY 14, 2020
James, thank you for the opportunity to guest blog in your series on Decision Optimization. I’m a veteran of 35 years in Retail Financial Services, 25 of which working in Decision Management, the last 17 focused on Decision Optimization, I currently work as a Product Manager in FICO’s Optimization group, focused on the software solutions we develop for business users & business analysts. Optimal Decision-Making. New Analytic Approaches in Decision Optimization.
bridgei2i
OCTOBER 12, 2020
Case study: Demand Elasticity Estimation and Price Optimization for an Insurance Major. The client is a P&C insurance leader in Asia wanted to optimize their price & demand elasticity estimation.
Dataiku
JULY 10, 2020
As organizations begin to monitor their unique recovery process and understand the shifting dynamics of the economic landscape following the global health crisis, many face the reality, albeit daunting, that their business was not equipped to pivot their operations in the face of mass disruption. Dataiku Product Featured
Smart Data Collective
DECEMBER 16, 2019
In the search for a solution that will access, organize, and cleanse their data, enterprises have no alternative but to invest in high-end data optimization software. This can only be achieved by having a system that will easily optimize data on your cloud and on-premises IT infrastructure resources. The benefits of having such data optimization solution are numerous and these include; 1.
Speaker: M.K. Palmore, VP Field CSO (Americas), Palo Alto Networks
In most cases, the COVID-19 crisis has sped up the desire to engage in digital transformation for medium-to-large scale enterprises. Roadmaps are rarely implemented without challenges. During this session, MK Palmore, the Field CSO (Americas) for Palo Alto Networks and a former public-sector executive, will walk through the difficulties of crisis planning execution in the midst of an organization's digital changes. He will use a combination of industry insights through statistical observations and direct customer feedback to emphasize the importance of adopting new technologies to battle an ever changing threat landscape.
Decision Management Solutions
MAY 6, 2020
There’s a lot you can do right now to optimize your decisions. And you can optimize your decisions mathematically. What does the future hold for decision optimization? These models will improve any optimization that uses them. They don’t eliminate the need for experiments, but they do add a great deal of value when optimizing decisions. Decision trees are often used in decision management and decision optimization. Optimal Decision-Making.
DataFloq
DECEMBER 16, 2019
With the rise of shipping and direct delivery, they are in greater need of new ways to optimize the logistics of transport and storage. Route optimization. In logistics and supply chain management processes, big data is used for route optimization. Distribution and production networks face many challenges when it comes to transporting large numbers of products.
bridgei2i
MAY 15, 2020
Take a look at how large-scale, sequential optimization can help assess the infection rates of larger groups, promoting faster calls-to-action to contain the pandemic spread! The post Whitepaper: Pooled Sample Testing: Optimal Strategy Determination using BRIDGEi2i Optimizer appeared first on Home Page – BRIDGEi2i: AI for the Digital Enterprise | Analytics and AI solutions for Enterprises.
Jedox
OCTOBER 15, 2019
Strategy: Optimizing finance processes. In order to successfully drive process optimization forward, it is important to be aware of the potential stumbling blocks. The goal is therefore the “democratization” of planning, meaning key stakeholders all play a valuable role to help progress the organization toward process optimization. Where to begin process optimization. The post Target: Process Optimization appeared first on Jedox.
KDnuggets
DECEMBER 20, 2019
This third part in a series about how to "ultralearn" data science will guide you through how to optimize your learning through five valuable techniques. 2019 Dec Opinions Advice Data Science Optimization Ultralearn
IBM Big Data Hub
JUNE 7, 2018
Decision-makers across many different industries are making complex decisions every day that involve optimizing trade-offs to make the right business choices
IBM Big Data Hub
OCTOBER 2, 2019
To learn more, I sat down with Virginie Grandhaye, offering manager for IBM Decision Optimization. Virginie has been bringing products to market to help our clients optimize decisions at speed by combining human and machine intelligence Today, “doing more with less” is a key principle driving business strategy across many resource-intensive industries. Organisations are looking to get more out of artificial intelligence (AI) and machine learning (ML) than just great insights.
Jedox
AUGUST 13, 2018
The post Optimized Planning with Artificial Intelligence appeared first on Jedox BI Blog. A good FP&A solution embraces the power of AI and should already have incorporated it into its technology. Over the past few years, the concept of Artificial Intelligence or ‘AI’, has finally been accepted into the mainstream and is dominating conversations around the world.
IBM Big Data Hub
JUNE 3, 2019
In the beginning, it was merely optimizing output based on a few constraints. Back when I was in school, one of the most difficult classes for my business degree was quantitative analysis. It wasn’t just hard, it was laborious to translate and solve business conditions and problems into algebraic equations by hand. As the course progressed, the equations became longer and more complicated in order to solve more complex problems.
Dataiku
JUNE 9, 2020
In the last few years a lot of research has been done into how to automate the process of building machine learning models. There is now a wide array of open source libraries offering AutoML. How do they relate to one another, and more importantly, how do they compare? To answer that, we’d need an independent team to test all the software packages under controlled conditions on a wide range of datasets. Featured Tech Blog
Smart Data Collective
JULY 9, 2019
The post How To Use Big Data To Deliver Optimized Customer Experiences appeared first on SmartData Collective. Business success begins and ends with customer experience. According to recent studies, 90 percent of buyers would gladly spend more for a better customer experience. That’s exactly why understanding what an improved experience means for customers is so important.
Jet Global
JULY 28, 2020
The good news is that optimizing ERP reporting is not as difficult as many expect, especially compared with proceeding with reporting as usual. The post How to Optimize Your ERP Reporting Quickly and Easily appeared first on insightsoftware. Why is ERP reporting so important?
Smart Data Collective
MARCH 28, 2019
Their main focus on collecting big data has been to optimize their business functions. Big data is being used for more effective marketing, optimal customer service, expediting research and development, maximizing product quality and much more. It gives him the opportunity to optimize their entire design process to the degree needed to create cutting edge IoT devices.
KDnuggets
SEPTEMBER 5, 2019
In this TensorFlow tutorial, you’ll learn the impact of optimizing both operators and entire graphs, how to efficiently organize data in training and testing datasets to minimize data shuffling, and how to identify a well-optimized model using Anaconda and ActivePython.
Smart Data Collective
APRIL 18, 2019
The post Data Analytics Optimizes Shipping through KPI Tracking appeared first on SmartData Collective. Big data is affecting every element of logistics in the economy. One facet of modern business that doesn’t get as much attention as it should is shipping, even though big data is having a profound impact on its future. Last June, a paper prepared by Paterson Simmons showed that big data is a driving force behind the shipping industry.
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