Yun Ma

Here's a great article about ChatGPT and its ability to build financial models (at the moment!), written by one of our Full Stack Modeller members, Freddy Teyssieux. #excel #financialmodelling #chatgpt #financialmodeling #automation #ai https://lnkd.in/eyQ_u-pB

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How will LLMs change the future of the Market Research industry? 🤖 A comprehensive article here from Kantar which covers these key points: 🔍 Summarization & Reporting: Quickly condense survey responses and organize data. 🔍 Theme Identification & Prediction: Extract insights and predict outcomes from large datasets. 🔍 Text Cleaning & Creative Writing: Improve data quality and assist in drafting materials. 🔍 Conversational AI: Enhance intelligent interviewing and natural language queries. My key takeaway from this is that the potential is immense, but we must navigate risks like data quality, biases, and ethical concerns. The future is bright, but careful implementation is key. Let's embrace the AI revolution in market research! 🌟 https://lnkd.in/eMMQHKN3 #AI #MarketResearch #FutureOfWork

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Attention #Bursars: FREE measurement of admissions and financial performance for #ISBA members. Data Navigator – a tool created by Barnett Waddingham and ISBA – enables schools to analyse their financial performance, model future positions and benchmark business performance against other similar schools. Over the next 18 months, recruiting and retaining pupils will be a key focus. Don’t miss out on what our existing users say is a tremendously useful tool for improving conversion rates, optimising costs, and much more. We recognise that data entry takes time, so we’re offering a new service to help - we’ll part-populate your data using public information and follow up with a call to answer any questions. This makes completing the information and gaining access to our tool much easier and quicker. To sign up, simply drop us a meeting time that works for you: https://lnkd.in/eqrNa8ws Independent Schools'​ Bursars Association Barnett Waddingham #DN4S

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Interesting insight on AI use cases within finance functions - worth a read.#AIinFinance #ArtificialIntelligence

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The EOS Intelligence #LifeSciences team's May focus is #GLP1 in #Obesity and #T2D. Follow the team as they discuss the landscape, key players, emerging competition, risks, challenges and more.

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Following the launch of PwC Global AI Jobs Barometer, Alastair Wood analyses the upbeat results for the UK - which show AI could be the key to unlocking the 'productivity puzzle' and supporting economic growth. In his blog Alastair highlights five key priorities for organisations to consider in readying their workforce for the age of AI. Read his blog below. #AI #Transformation #AIJobs

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In our latest Dectech #Buzz, we've taken a look at the topic of synthetic data. Running large-scale surveys and experiments takes time, skill, and financial resources. Wouldn't it be great if you could side-step all of that and just generate your data using an LLM? Its worth spending five minutes of your time to read the whole article, but for the tl;dr here's the conclusion: "Synthetic data is likely to be least accurate in the cases where it would be most valuable: new brands, propositions, and markets or niche and hard-to-reach audiences." https://lnkd.in/ev85KJVQ #dectech #behaviouralscience #research #syntheticdata

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The Databricks Data & AI world tour in London was brilliant! I still need to synthesise my thoughts and notes, but a key observation is that data is still king. From retail, to aviation, to energy, the big challenges across industry are, largely, centred around data quality, data governance, and siloed data. #Databricks #Data #AI

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Is the UK investing enough in AI? Last week, I discussed insights from IBM’s Institute of Business Value and the wealth of data on AI adoption. Today, I’m diving into findings from a recent global report on AI in Action (link in the comments). The survey assessed organisations’ AI maturity across strategy, investments, results, and outcomes. While I’ll cover ‘data-readiness’ for AI in a future post, today I want to highlight some of the inter-country differences. In the US, 23% of respondents identified as AI leaders, showing maturity across key dimensions. In contrast, only 11% of UK organisations, 13% of German, and 7% of Japanese firms reported similar levels of AI maturity. Are US companies significantly ahead in their AI journey? What could this mean for global economies over the next five years? Even more telling is the data on AI investment. In the US, 24% of companies are investing aggressively in AI, compared to 32% in Germany and 40% in Japan. While not all organisations may feel fully mature in AI, many are clearly betting on the value of early investments. Unfortunately, only 14% of UK companies are taking a similarly aggressive approach. Is the broader UK economy limiting AI investment and the potential returns? How might this week’s budget influence the ability of UK companies to prioritise AI? In my view, the value from AI is evident, but scaling that value remains a significant hurdle to broader adoption. Why do you think the UK lags behind? What actions can AI champions take within organisations to demonstrate value and secure more investment?

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Our founder Mirian Nwoke, ACIPM, MBA recently had the pleasure of partnering with Charlotte Ledoux's for a review of her fantastic new e-book titled ''Let's Talk about Data Governance: Where to Start?'', a practical guide for implementing data governance in any organization. Stay ahead of the curve! 💪 Follow The Data Governance Collaborative for more Data Governance updates and activities. #Datagovernance #Datamanagement #Datagovernnacebooks #bookreview

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Our UK M&A Industry Trends analysis is featured in City AM highlighting deal volume and value for the first six months of 2024. The data shows total deal value for H1 2024 increased by 66% compared to the same period last year, despite total volume falling by a fifth reflecting a higher number of larger deals being announced.

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Let me know if you want a copy.

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📊 Power BI seems to be continuing to take market share from the likes of Tableau, Qlik and Looker, and I'm keen to hear everyone's thoughts as to why. Many potential reasons go through my head, and it's probably a combination of a few of these. And of course, this is just my view with the customers I speak with, and organisations I hear about, so may not be the case across the board. Is it: 💥 because it's genuinely the best tool out there, for the purpose? 💥 due to business pressures to have more Microsoft products in an MS focussed organisation? 💥 because no one gets told off for buying Microsoft?! 💥 because it's cheaper for the 'out of the box' product? 💥 because it's deemed easier, and possibly cheaper, to hire resource? 💥 because it has the edge when it comes to NLP? 💥 because it's deemed as being easier to learn? 🤯 something else? Let me know your thoughts and what your honest opinion of Power BI when comparing with other tech. #powerbi #tableau #qlik #looker #datavisualisation #analytics

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The UK making significant impact with this strategic partnership between the Met Office and The Alan Turing Institute in delivering improved weather forecasting capability. Achieving this by systematically combining both mathematically described physics and statistical observational data.

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How do you optimise your time at LSE? Did you know you can learn the #1 app for data visualisations in just one weekend? Places are limited, book now! https://lnkd.in/eKC2guq4 #powerbi #datavisualisation

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Here’s interesting survey data points from the APM series focusing on human behaviour and its impact on projects, with particular emphasis on Strategic Misrepresentation. Sourced from event 1 and event 4. Event 1 asked two questions. The first asks whether organisations use historical estimate performance data to inform their business cases estimates, to mitigate optimism bias. The second asks whether they recognise strategic misrepresentation, i.e., addressing social pressures such as poor bonus incentives that influence decision-making. For both questions, we asked if their organisation addresses these issues (blue) and whether individuals felt they knew how to handle them personally (green). Event 4 asked about the frequency and impact of strategic misrepresentation when it occures. If research from Oxford shows that only 8% of projects are delivered on time and on budget, and only 0.5% deliver benefits within those constraints, this is clearly a significant issue. My view: Most organisations aren’t addressing the inherent optimism bias in estimates. They also fail to recognise that people make decisions to maintain power or advance their own interests. Moreover, many project professionals don’t know how to tackle these challenges. Educational institutions like the Association for Project Management, the Project Management Institute, and others need to step up. I am working with a group of volunteers under the APM banner to drive this forward. If you find this content valuable, please stay tuned for more in the year ahead. #BehaviouralScience #StrategicMisrepresentation #APM #PMI Data: https://lnkd.in/eDJfCy4H With thanks to the volunteers that supported this data capture: Nermeen Latif, ChPP, Mark Vincent, Callum Batey, Andy Murray, Roger Garrini RPP FAPM, Tom Muir, Martin Samphire, James Evans, James Lea, Donna Unitt, Emma-Ruth Arnaz-Pemberton

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Delighted to share my perspectives on the ever-evolving role of a PE-backed #CFO with Raconteur | B Corp™ and The Times. Driven by investors desires to assess data-backed equity stories in diligence, complexities in presenting a single source of truth post-acquisition and the irrepressible need to realise machine learning & AI opportunities. The role of a PE-backed #CFO is becoming more complex and far-reaching. #CFOs who harness more sophisticated data and technology solutions are differentiated. Affording themselves more time to think strategically about the business model & growth levers throughout the hold, and positioning of the business for exit. "Ultimately, high-quality information will not increase valuations, but it will enable the defence of higher valuations" #privateequity #CFOs #valuecreation #prepforexit

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Recent MPS in Analytics graduate Heejae Roh is a people person, and his outlook trends towards the optimistic. Even when his work has dealt with serious topics—like measuring rates of abuse during the pandemic—he believes in the power of data science to uncover facts and allow governments and communities to make positive change. During his time at the Silicon Valley campus, he applied the same enthusiasm for teamwork and collaboration to his graduate work that he brings to the rest of his life. Speaking with us, he explained the ways he leaned fully in to the experience: https://lnkd.in/g3Guqcxm

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Research from Bain & Company shows “ dealmakers have remained interested in AI-powered and AI enabled healthcare assets, with firms recognizing the huge potential upside AI can deliver for existing and future healthcare investments.” PEI dives into what this looks like in practice. https://bit.ly/465NqWA

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