Management Theory Review

December 9, 2023

Producrt Industrial Engineering - GAN PCB

Optimizing PCB layout for GaN transistors

The fast switching speed of GaN transistors brings various advantages ranging from higher efficiency to power density but can make PCB layout more challenging.

For years, the standard solution has been to slow down the switching speed of power devices, coming at the cost of increased power consumption and reduced efficiency. Obviously, this solution is no longer ideal.

The Top 10 recommendations for PCB layout optimization at a glance

https://www.infineon.com/cms/en/product/promopages/gan-pcb/

Detailed PDF

https://www.infineon.com/cms/en/product/gated-document/optimizing-pcb-layout-for-hv-coolgan-power-transistors-8ac78c8c8929aa4d0189ba64ffb262a2/

As a global semiconductor leader in power systems and IoT, we enable game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT.

We make life easier, safer, and greener. Together with our customers and partners. For a better tomorrow.

In the 2023 fiscal year (ending 30 September), Infineon reported revenue of more than €16 billion with a workforce of some 58,600 people worldwide.

https://www.infineon.com/cms/en/about-infineon/company/

2023

Optimizing PCB Layout for HV GaN Power Transistors

Abstract:

Printed circuit board (PCB) layout has been an integral aspect of power electronic design since the first switching power supplies appeared more than 40 years ago. Regardless of the transistor technology, the parasitic impedances added to the circuit by the PCB layout must be understood and managed for the circuit to function correctly, reliably, and without causing undue electromagnetic interference (EMI).

Published in: IEEE Power Electronics Magazine ( Volume: 10, Issue: 2, June 2023)

Page(s): 65 - 78

Date of Publication: 28 June 2023

https://ieeexplore.ieee.org/document/10167536

AI Powered Customer Listening - Marketing Using AI

https://www.sprinklr.com/products/consumer-intelligence/

SPRINKLR INSIGHTS

Capture customer experience measurements and insights in real-time. All in one place.

97% of brands say they struggle with turning vast amounts of unstructured data into actionable insights. But with AI-powered Sprinklr Insights from Sprinklr, you can transform data from millions of conversations — including 200 billion historical messages across 30+ digital channels — into actionable insights for your entire business, giving you a single, unified, 360° view of your customers to drive faster, smarter business decisions.

How Heartland Dental manages 800+ social media accounts to drive effective patient care

https://www.sprinklr.com/stories/heartland-dental/

8000 employees and 847 offices maintaining social media accounts.

December 7, 2023

Generative AI Adoption at Enterprise Level - Opportunities and Challenges

Enterprise AI - Diffrent ballgame

Sanket Kulkarni

Enterprise Sales Director | Professor - SCM | Blockchain Expert

https://www.linkedin.com/pulse/enterprise-ai-diffrent-ballgame-sanket-kulkarni-ickkf

November 27, 2023

Lean Project Portfolio Management & Enterprise Architecture in Digital Products and Services Companies

November 26, 2023

Causal Links between Customer Feedback Tweets - Market Effects

Mining Twitter data for causal links between tweets and real-world outcomes

Sunghoon Lim & Conrad S. Tucker

https://www.sciencedirect.com/science/article/pii/S2590188519300071

MS in Engineering & Technology Innovation Management - Carnegie Mellon University - Pittsburgh

November 16, 2023

Data Science - Bond Trading - Fixed Income Markets

Peter Simon

Managing Director, Financial Markets Data Science

Peter leads DataRobot’s financial markets data science practice and works closely with fintech, banking, and asset management clients on numerous high-ROI use cases for the DataRobot AI Platform.

Prior to joining DataRobot, he gained twenty-five years’ experience in senior quantitative research, portfolio management, trading, risk management and data science roles at investment banks and asset managers including Morgan Stanley, Warburg Pincus, Goldman Sachs, Credit Suisse, Lansdowne Partners and Invesco, as well as spending several years as a partner at a start-up global equities hedge fund. Peter has an M.Sc. in Data Science from City, University of London, an MBA from Cranfield University School of Management, and a B.Sc. in Accounting and Financial Analysis from the University of Warwick. His paper, “Hunting High and Low: Visualising Shifting Correlations in Financial Markets”, was published in the July 2018 issue of Computer Graphics Forum.

When Does Machine Learning Work Well in Financial Markets Blog

A DATA SCIENTIST EXPLAINS: WHEN DOES MACHINE LEARNING WORK WELL IN FINANCIAL MARKETS?

January 17, 2023

Peter Simon

As a data scientist, one of the best things about working with DataRobot customers is the sheer variety of highly interesting questions that come up. Recently, a prospective customer asked me how I reconcile the fact that DataRobot has multiple very successful investment banks using DataRobot to enhance the P&L of their trading businesses with my comments that machine learning models aren’t always great at predicting financial asset prices. Peek into our conversation to learn when machine learning does—and doesn’t—work well in financial markets use cases.

https://www.datarobot.com/blog/a-data-scientist-explains-when-does-machine-learning-work-well-in-financial-markets/

Yield Book Analytics

Empowering financial markets with the best-in-class models, robust analytics, and related services.

Our brand is changing to LSEG Yield Book

As a trusted and authoritative source of fixed income analytics for more than 30 years, Yield Book offers an expanded set of capabilities that include market-leading data and cashflows modelling for in-depth security and portfolio analysis ranging from vanilla bonds to highly structured mortgages and complex derivatives for clients to comprehensively address their requirements.

Why Yield Book?

Single source solution

Sophisticated analytics

Differentiating insights

Unrivalled flexibility

Regulatory alignment

Single Source Solution

Get access to the “golden source” of fixed income data, prices, indices, and analytics driven by Refinitiv’s Pricing and Reference data that underpins the construction of FTSE Russell indices.

Industry-wide analytics solutions

Our market-leading models, derived analytics solutions and AI-powered workflows enable buy-side and sell-side customers to stay ahead of the competition. Our clients can access analytical solutions across the breadth of their business requirements, including:

Scenario aligned cashflows

Real-time user-specified parameters, such as curves

Derived analytics solutions, such as SRI / FRTB analytics

Our solutions are underpinned by comprehensive asset class coverage, sophisticated market leading models, supported by world-class expertise in global financial markets.

https://solutions.yieldbook.com/en

Machine learning-aided modeling of fixed income instruments

Daniel Martin, Barnabás Póczos

Machine Learning Department

Carnegie Mellon University

Pittsburgh, PA 15213

Burton Hollifield

Tepper School of Business

Carnegie Mellon University

Pittsburgh, PA 15213

https://www.ml.cmu.edu/research/dap-papers/f18/dap-martin-daniel.pdf

Supervised similarity learning for corporate bonds using

Random Forest proximities

Jerinsh Jeyapaulraj

2022

https://arxiv.org/pdf/2207.04368.pdf

BondGPT