This presentation by Aidan Hollis was made at the 2014 Global Forum on Competition (27-28 February) during the session on competition issues in the distribution of pharmaceuticals. Find out more at http://www.oecd.org/competition/globalforum
This presentation by Farasat Bokhari was made at the 2014 Global Forum on Competition (27-28 February) at the session on competition issues in the distribution of pharmaceuticals. Find out more at http://www.oecd.org/competition/globalforum
What if: A sliding scale were used to reimburse generic drugs to effectively ...CFHI-FCASS
1) Currently, Ontario sets generic drug prices as a fixed percentage of the brand name drug price, but this percentage is arbitrary and may be too high or too low for different drugs.
2) While there is competition between generic drug manufacturers, retail prices remain high because pharmacies capture large margins within the allowed price ceilings.
3) The proposal is for a "descending royalty" system where the generic price is determined by the number of manufacturers, with the goal of driving prices down towards marginal cost through competition like the brand drug market.
This presentation by Adrian Majumdar was made at the 2014 Global Forum on Competition (27-28 February) at the session on competition issues in the distribution of pharmaceuticals. Find out more at http://www.oecd.org/competition/globalforum
This presentation by Pradeep Mehta was made at the 2014 Global Forum on Competition (27-28 February) during the session on competition issues in the distribution of pharmaceuticals. Find out more at http://www.oecd.org/competition/globalforum
Merck faces challenges with growth and is expected to pursue cost efficiencies, mergers and acquisitions with other large pharmaceutical companies, biotech firms, midsize pharmaceutical players, and generics manufacturers. Any new products must be carefully launched and marketed to avoid controversial safety issues like those with Vioxx. Regulatory bodies should be provided drug samples for testing after the drug's effects have been thoroughly evaluated in-house to avoid approval delays for future drugs. Merck may also seek to extend product patent durations where possible.
The document discusses Optimizerx's SampleMD software, which allows doctors to electronically send drug sample vouchers and coupons to patients directly from their EHR systems. This helps doctors assist more patients and drug companies market to doctors in a compliant way. SampleMD partners with large EHR vendors like Allscripts to reach over 200,000 doctors. It generates revenue by charging drug companies to offer samples/coupons and receiving fees for every one used. The business model is highly leveraged as growing adoption could enable high volumes of incremental revenue with modest overhead costs.
This presentation by Margaret KYLE, Professor of Economics, MINES Paris Tech, was made during the discussion “Excessive Pricing in Pharmaceuticals” held at the 130th meeting of the OECD Competition Committee on 28 November 2018. More papers and presentations on the topic can be found out at oe.cd/exph.
This presentation by Aidan Hollis was made at the 2014 Global Forum on Competition (27-28 February) during the session on competition issues in the distribution of pharmaceuticals. Find out more at http://www.oecd.org/competition/globalforum
This presentation by Farasat Bokhari was made at the 2014 Global Forum on Competition (27-28 February) at the session on competition issues in the distribution of pharmaceuticals. Find out more at http://www.oecd.org/competition/globalforum
What if: A sliding scale were used to reimburse generic drugs to effectively ...CFHI-FCASS
1) Currently, Ontario sets generic drug prices as a fixed percentage of the brand name drug price, but this percentage is arbitrary and may be too high or too low for different drugs.
2) While there is competition between generic drug manufacturers, retail prices remain high because pharmacies capture large margins within the allowed price ceilings.
3) The proposal is for a "descending royalty" system where the generic price is determined by the number of manufacturers, with the goal of driving prices down towards marginal cost through competition like the brand drug market.
This presentation by Adrian Majumdar was made at the 2014 Global Forum on Competition (27-28 February) at the session on competition issues in the distribution of pharmaceuticals. Find out more at http://www.oecd.org/competition/globalforum
This presentation by Pradeep Mehta was made at the 2014 Global Forum on Competition (27-28 February) during the session on competition issues in the distribution of pharmaceuticals. Find out more at http://www.oecd.org/competition/globalforum
Merck faces challenges with growth and is expected to pursue cost efficiencies, mergers and acquisitions with other large pharmaceutical companies, biotech firms, midsize pharmaceutical players, and generics manufacturers. Any new products must be carefully launched and marketed to avoid controversial safety issues like those with Vioxx. Regulatory bodies should be provided drug samples for testing after the drug's effects have been thoroughly evaluated in-house to avoid approval delays for future drugs. Merck may also seek to extend product patent durations where possible.
The document discusses Optimizerx's SampleMD software, which allows doctors to electronically send drug sample vouchers and coupons to patients directly from their EHR systems. This helps doctors assist more patients and drug companies market to doctors in a compliant way. SampleMD partners with large EHR vendors like Allscripts to reach over 200,000 doctors. It generates revenue by charging drug companies to offer samples/coupons and receiving fees for every one used. The business model is highly leveraged as growing adoption could enable high volumes of incremental revenue with modest overhead costs.
This presentation by Margaret KYLE, Professor of Economics, MINES Paris Tech, was made during the discussion “Excessive Pricing in Pharmaceuticals” held at the 130th meeting of the OECD Competition Committee on 28 November 2018. More papers and presentations on the topic can be found out at oe.cd/exph.
The document discusses the complexities of managing pharmaceutical rebate contracts and describes the features of AdvanceRebate, a software tool for modeling, managing, and optimizing rebate contracts. AdvanceRebate allows users to model rebate contract parameters, automatically build market baskets, compare contracts, generate projections and alerts, and facilitate tier swapping to maximize savings. The tool provides increased revenue, savings, transparency and streamlined workflow for managing the numerous intricacies of rebate contracts.
The document discusses emerging business and operational models in the pharmaceutical industry. It notes that the traditional vertically integrated model is shifting to a more fragmented model. It also discusses factors driving changes like rising costs and competition. The document analyzes current blockbuster and niche models and potential future models involving more specialization. It proposes a "progressive drug development model" to reduce risks and costs through targeted development.
This document outlines a vision for next-generation commercial capabilities within the pharmaceutical industry. It discusses the paradigm shift occurring as healthcare markets evolve more rapidly, driving the need for pharmaceutical companies to innovate their commercial models to navigate increasing complexity and costs. It proposes a collaborative model where companies leverage external partners' expertise in analytics, technology, and skills alongside internal assets to build commercial centers of excellence. These centers of excellence would standardize processes while clustering subject matter expertise to develop capabilities as a strategic differentiator and recognize efficiencies over time. The goal is to provide faster access to insights from vast and diverse healthcare data sources to implement locally relevant solutions on a global scale.
Maximizing ROI The Science of Targeted Pharma Engagements.pdfOnkarWeginwar1
In the ever-evolving world of pharmaceuticals, achieving a high return on investment (ROI) is a primary goal. The pharmaceutical industry is increasingly turning to targeted engagements to attain this objective. This whitepaper delves into the science behind targeted pharmaceutical engagements, exploring the strategies, technologies, and best practices that can maximize ROI while improving patient outcomes. By understanding the intricacies of targeted engagements, pharmaceutical companies can navigate the industry's complexities, enhance their market presence, and deliver value to patients and stakeholders.
This presentation looks at ways in which governments can set prices, including “cost plus”, value, and the external referencing of prices elsewhere. It looks at the role that competition can play in keeping down prices. In that context it briefly discusses pricing proposals being considered in Malaysia. It makes the case for using HTA to inform pricing decisions.
Adrian Towse
Evolving Operational Business Model in Pharmaceutical IndustrySurya Chitra,PhD MBA
The pharmaceutical industry is changing its business and operational models due to various pressures. The current model of vertical integration from research to pharmacy is shifting to a more fragmented model. Key drivers include rising costs, price pressures, increased regulation, and patent expirations. The industry must address these issues to sustain growth and profits. Alternative business strategies are needed due to instability in the current blockbuster drug model, which relies on a few highly profitable drugs to offset research and development costs.
Pharma Sales Crediting: Incentives for Accurate & Compliant ProcessesCognizant
The document discusses the complex process of incentivizing pharmaceutical sales representatives. It notes that designing sales incentive programs involves establishing quotas, measuring performance against quotas, and ensuring accurate sales data collection and mapping to territories while complying with regulations. An effective sales crediting process requires mapping prescription data to territories, applying business rules to remain compliant, and conducting quality checks to avoid errors and lawsuits. Key challenges include mapping scripts to reps, handling roster changes, and clearly defining rules to demonstrate fair compensation and avoid litigation.
Strategies to Enhance Pharmacy Benefit ManagementTransparentRx
This document provides strategies for self-insured employers to better manage pharmacy benefit costs and performance. It recommends marshaling in-house expertise to better understand how PBMs generate profits through various pricing strategies. It also suggests replacing traditional RFP processes with reverse auctions to drive more competitive pricing from PBMs, particularly for specialty drugs. Overall, the document aims to educate employers on optimizing PBM contracts and strategies to control rising prescription drug costs.
This document describes PlanCompare ONE, a platform from Connecture that provides Medicare plan shopping, quoting, and enrollment capabilities. It has the largest Medicare market share and supports over 100 health plans nationwide. The platform provides highly accurate drug pricing and total cost estimates. It allows flexible delivery models and supports brokers, call centers, and direct-to-consumer audiences through an omni-channel approach. The platform is compliant, configurable, and integrated with CRM systems to improve the consumer experience and increase conversions and retention.
To succeed in this dynamic healthcare industry, price-volume strategies require a concerted effort from all parts of the business and close alignment with the overall strategy. Learn more about the strategies from some successful case studies in the Asia-Pacific region.
Pharmaceutical Supply Chains Require New Operational and Technology Models to...Cognizant
The pharmaceutical supply chain requires new operational and technology models to enable collaboration and efficiency. Pharmaceutical companies face slowed growth, industry pressures, and declining margins. They must embrace demand-chain thinking and cloud solutions to share real-time data with partners. This will help manage unpredictable demand, gain inventory visibility, and serve diverse markets. Cloud platforms can provide a common space for stakeholders to connect and share data, fostering transparency and accountability.
Biotech revolution changed the pharmaceutical industry, triggering a wave of risky collaborations between rivals. Based on the research findings, we answer the question why cooperation in the field of immuno-oncology is a better strategy for Pfizer and Merck KGaA, which aim to achieve competitive advantage quickly and with minimum effort. Combining their assets and core expertise companies realize benefits of greater size and variety in the conduct of research, development and commercializing of their new breakthrough therapy for cancer treatment.
Machine Learning to Control Medicare Prescription Drug CostsBen Spiegel
This project used Gradient Boosting to recognize physicians who have much higher prescription drug costs compared to their predicted cost. The Coefficient of Determination using this algorithm was .664. Additionally the accuracy of the model is such that 79.5% of physicians were no more than 40% above their predicted drug costs, while 88.2% were no more than 60% above their predicted costs.
AI - The Next Frontier for Connected Pharmasambiswal
Big pharma has long been challenged with siloed data resulting from drug discovery information, clinical trial results and product marketing research stored separately in decade-old legacy systems. Thus, the pharmaceutical industry is ripe for the actionable insights offered by these advances to offset the growing costs of drug discovery while still meeting the demands of a value-based care model. It is time for a connected approach in the pharmaceutical industry.
The document discusses marketing strategies used by pharmaceutical companies. It notes that companies are shifting from acute therapies to focusing more on chronic therapies that require long-term treatment. This allows companies to build more stable customer bases. The document also outlines some of the challenges companies face, such as increased competition, high costs of research and development, and complex decision-making processes involving doctors, patients, and other stakeholders. It discusses two common business models - the "super core model" involving a small number of highly successful chronic drugs, and the "core model" involving marketing a larger number of acute drugs.
The document discusses marketing strategies used by pharmaceutical companies. It notes that companies are shifting from acute therapies to focusing more on chronic therapies. This represents a long-term strategy change as chronic therapies require doctors to prescribe the same drugs for longer periods. The document also outlines some of the challenges pharmaceutical companies face in marketing to different customers in the supply chain from doctors to patients. It discusses strategies around patents, research and development, and pursuing either a "super core" model focused on a small number of chronic drugs or a "core" model marketing more acute drugs.
CrowdANALYTIX used machine learning models to analyze historical flight data and identify specific guidelines for reducing fuel costs in short-haul flights by 2.7%, such as determining the optimal angle of climb and cruising speed for enhanced fuel efficiency. The models were developed by extracting relevant features from raw flight data and identifying the most accurate in predicting fuel efficiency.
Flight delays can be unpredictable, and therefore costly. This airline wanted to use AI to accurately predict flight delays and save on time and costs.
The document discusses the complexities of managing pharmaceutical rebate contracts and describes the features of AdvanceRebate, a software tool for modeling, managing, and optimizing rebate contracts. AdvanceRebate allows users to model rebate contract parameters, automatically build market baskets, compare contracts, generate projections and alerts, and facilitate tier swapping to maximize savings. The tool provides increased revenue, savings, transparency and streamlined workflow for managing the numerous intricacies of rebate contracts.
The document discusses emerging business and operational models in the pharmaceutical industry. It notes that the traditional vertically integrated model is shifting to a more fragmented model. It also discusses factors driving changes like rising costs and competition. The document analyzes current blockbuster and niche models and potential future models involving more specialization. It proposes a "progressive drug development model" to reduce risks and costs through targeted development.
This document outlines a vision for next-generation commercial capabilities within the pharmaceutical industry. It discusses the paradigm shift occurring as healthcare markets evolve more rapidly, driving the need for pharmaceutical companies to innovate their commercial models to navigate increasing complexity and costs. It proposes a collaborative model where companies leverage external partners' expertise in analytics, technology, and skills alongside internal assets to build commercial centers of excellence. These centers of excellence would standardize processes while clustering subject matter expertise to develop capabilities as a strategic differentiator and recognize efficiencies over time. The goal is to provide faster access to insights from vast and diverse healthcare data sources to implement locally relevant solutions on a global scale.
Maximizing ROI The Science of Targeted Pharma Engagements.pdfOnkarWeginwar1
In the ever-evolving world of pharmaceuticals, achieving a high return on investment (ROI) is a primary goal. The pharmaceutical industry is increasingly turning to targeted engagements to attain this objective. This whitepaper delves into the science behind targeted pharmaceutical engagements, exploring the strategies, technologies, and best practices that can maximize ROI while improving patient outcomes. By understanding the intricacies of targeted engagements, pharmaceutical companies can navigate the industry's complexities, enhance their market presence, and deliver value to patients and stakeholders.
This presentation looks at ways in which governments can set prices, including “cost plus”, value, and the external referencing of prices elsewhere. It looks at the role that competition can play in keeping down prices. In that context it briefly discusses pricing proposals being considered in Malaysia. It makes the case for using HTA to inform pricing decisions.
Adrian Towse
Evolving Operational Business Model in Pharmaceutical IndustrySurya Chitra,PhD MBA
The pharmaceutical industry is changing its business and operational models due to various pressures. The current model of vertical integration from research to pharmacy is shifting to a more fragmented model. Key drivers include rising costs, price pressures, increased regulation, and patent expirations. The industry must address these issues to sustain growth and profits. Alternative business strategies are needed due to instability in the current blockbuster drug model, which relies on a few highly profitable drugs to offset research and development costs.
Pharma Sales Crediting: Incentives for Accurate & Compliant ProcessesCognizant
The document discusses the complex process of incentivizing pharmaceutical sales representatives. It notes that designing sales incentive programs involves establishing quotas, measuring performance against quotas, and ensuring accurate sales data collection and mapping to territories while complying with regulations. An effective sales crediting process requires mapping prescription data to territories, applying business rules to remain compliant, and conducting quality checks to avoid errors and lawsuits. Key challenges include mapping scripts to reps, handling roster changes, and clearly defining rules to demonstrate fair compensation and avoid litigation.
Strategies to Enhance Pharmacy Benefit ManagementTransparentRx
This document provides strategies for self-insured employers to better manage pharmacy benefit costs and performance. It recommends marshaling in-house expertise to better understand how PBMs generate profits through various pricing strategies. It also suggests replacing traditional RFP processes with reverse auctions to drive more competitive pricing from PBMs, particularly for specialty drugs. Overall, the document aims to educate employers on optimizing PBM contracts and strategies to control rising prescription drug costs.
This document describes PlanCompare ONE, a platform from Connecture that provides Medicare plan shopping, quoting, and enrollment capabilities. It has the largest Medicare market share and supports over 100 health plans nationwide. The platform provides highly accurate drug pricing and total cost estimates. It allows flexible delivery models and supports brokers, call centers, and direct-to-consumer audiences through an omni-channel approach. The platform is compliant, configurable, and integrated with CRM systems to improve the consumer experience and increase conversions and retention.
To succeed in this dynamic healthcare industry, price-volume strategies require a concerted effort from all parts of the business and close alignment with the overall strategy. Learn more about the strategies from some successful case studies in the Asia-Pacific region.
Pharmaceutical Supply Chains Require New Operational and Technology Models to...Cognizant
The pharmaceutical supply chain requires new operational and technology models to enable collaboration and efficiency. Pharmaceutical companies face slowed growth, industry pressures, and declining margins. They must embrace demand-chain thinking and cloud solutions to share real-time data with partners. This will help manage unpredictable demand, gain inventory visibility, and serve diverse markets. Cloud platforms can provide a common space for stakeholders to connect and share data, fostering transparency and accountability.
Biotech revolution changed the pharmaceutical industry, triggering a wave of risky collaborations between rivals. Based on the research findings, we answer the question why cooperation in the field of immuno-oncology is a better strategy for Pfizer and Merck KGaA, which aim to achieve competitive advantage quickly and with minimum effort. Combining their assets and core expertise companies realize benefits of greater size and variety in the conduct of research, development and commercializing of their new breakthrough therapy for cancer treatment.
Machine Learning to Control Medicare Prescription Drug CostsBen Spiegel
This project used Gradient Boosting to recognize physicians who have much higher prescription drug costs compared to their predicted cost. The Coefficient of Determination using this algorithm was .664. Additionally the accuracy of the model is such that 79.5% of physicians were no more than 40% above their predicted drug costs, while 88.2% were no more than 60% above their predicted costs.
AI - The Next Frontier for Connected Pharmasambiswal
Big pharma has long been challenged with siloed data resulting from drug discovery information, clinical trial results and product marketing research stored separately in decade-old legacy systems. Thus, the pharmaceutical industry is ripe for the actionable insights offered by these advances to offset the growing costs of drug discovery while still meeting the demands of a value-based care model. It is time for a connected approach in the pharmaceutical industry.
The document discusses marketing strategies used by pharmaceutical companies. It notes that companies are shifting from acute therapies to focusing more on chronic therapies that require long-term treatment. This allows companies to build more stable customer bases. The document also outlines some of the challenges companies face, such as increased competition, high costs of research and development, and complex decision-making processes involving doctors, patients, and other stakeholders. It discusses two common business models - the "super core model" involving a small number of highly successful chronic drugs, and the "core model" involving marketing a larger number of acute drugs.
The document discusses marketing strategies used by pharmaceutical companies. It notes that companies are shifting from acute therapies to focusing more on chronic therapies. This represents a long-term strategy change as chronic therapies require doctors to prescribe the same drugs for longer periods. The document also outlines some of the challenges pharmaceutical companies face in marketing to different customers in the supply chain from doctors to patients. It discusses strategies around patents, research and development, and pursuing either a "super core" model focused on a small number of chronic drugs or a "core" model marketing more acute drugs.
CrowdANALYTIX used machine learning models to analyze historical flight data and identify specific guidelines for reducing fuel costs in short-haul flights by 2.7%, such as determining the optimal angle of climb and cruising speed for enhanced fuel efficiency. The models were developed by extracting relevant features from raw flight data and identifying the most accurate in predicting fuel efficiency.
Flight delays can be unpredictable, and therefore costly. This airline wanted to use AI to accurately predict flight delays and save on time and costs.
A Japanese retailer leveraged AI to automate their discounting strategies and processes, standardizing across stores and achieving 630% ROI on their AI investment.
This document discusses how an AI company used data from motorbikes to improve performance. They analyzed telemetry, biometric, and GPS data to build models predicting bike performance. The models identified design parameters that could be optimized, such as factors sensitive to operator conditions and courses, improving performance over 4%.
A top global cement manufacturer found that they were wasting product because they couldn't quality test early in their process. They turned to AI to solve the problem.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
1. PRIVATE & CONFIDENTIAL
Increased the win
percentage by 13% and
the margin by 3.5% on
average for bids
related to generic
drugs.
DATAX > DEVELOPX > DEPLOYX
CHALLENGE
ACTION
The client participates in bidding processes with hospitals and other
healthcare providers that purchase their generic medications. The
pharmaceutical company sought a means of winning more bids
through AI, which could potentially make accurate market
predictions, taking into account geographic and economic factors.
DATAX
Filtered the data for molecules that were in focus, reducing the number of
actual bids to 15,809 from over 90,000. Bids that involved SKUs the client
was not interested in were eliminated.
DEVELOPX
Used predictive modeling to understand the dynamics of pricing strategies
of vendors for different molecules in different markets. Built a predictive
model to determine winning bid price for products after LOE (Loss of
Exclusivity) for different geographies/countries (identified by account,
province, region).
DEPLOYX
Added additional features for specific regional markets and maintained
models for use over time.
PHARMACEUTICALS DATA USED
BIDS
1