Zarządzanie Finansowe Archive

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Ekonomista 2023 No 3

Ekonomista is a journal dedicated to science and the requirements of life that was launched in 1900. It is published by the Polish Economic Society and the Institute of Economics of the Polish Academy of Sciences.
Editor-in-chief: prof. dr hab. Marian Gorynia
Current issue 3/2023
The soundness of returning to manufacturing through the lens of productivity accounting Dariusz Cezary Kotlewski 
Ekonomista 2023;(3):253–274 DOI: https://doi.org/10.52335/ekon/171520 Abstract  Article (PDF) Stats
Going digital and intangible: intangible investments effects on a company’s success Eva Erjavec 
Ekonomista 2023;(3):275–294 DOI: https://doi.org/10.52335/ekon/170239  Abstract  Article (PDF) Stats
State-owned enterprises in the modern economy: the objectives and determinants of efficiency Katarzyna Szarzec 
Ekonomista 2023;(3):295–314 DOI: https://doi.org/10.52335/ekon/170240 Abstract  Article (PDF) Stats
The evolution of capitalism and the concept of a natural economic order Bogusław Fiedor 
Ekonomista 2023;(3):315–332 DOI: https://doi.org/10.52335/ekon/170316  Abstract  Article (PDF) Stats
REVIEW, DISCUSSION
Reflections on Oblicza polskiego etatyzmu gospodarczego by Stanisław Czaja and Bogusław Fiedor; Piotr Szymaniec, Lech Kurowski 
Ekonomista 2023;(3):333–340 DOI: https://doi.org/10.52335/ekon/170241 Abstract  Article (PDF) Stats
Review of the monograph: Polskie przedsiębiorstwo na jednolitym rynku europejskim. Wyzwania współczesności, eds Marian Gorynia, Joanna Kuczewska and Alojzy Z. Nowak, Polskie Wydawnictwo Ekonomiczne, Warsaw 2022 (245 p.) Adam A. Ambroziak 
Ekonomista 2023;(3):341–343 DOI: https://doi.org/10.52335/ekon/170242  Article (PDF)
More: Ekonomista

 

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McKinsey: The economic potential of generative AI

Generative AI is poised to unleash the next wave of productivity. We take a first look at where business value could accrue and the potential impacts on the workforce.

AI has permeated our lives incrementally, through everything from the tech powering our smartphones to autonomous-driving features on cars to the tools retailers use to surprise and delight consumers. As a result, its progress has been almost imperceptible. Clear milestones, such as when AlphaGo, an AI-based program developed by DeepMind, defeated a world champion Go player in 2016, were celebrated but then quickly faded from the public’s consciousness.

 

Generative AI applications such as ChatGPT, GitHub Copilot, Stable Diffusion, and others have captured the imagination of people around the world in a way AlphaGo did not, thanks to their broad utility—almost anyone can use them to communicate and create—and preternatural ability to have a conversation with a user. The latest generative AI applications can perform a range of routine tasks, such as the reorganization and classification of data. But it is their ability to write text, compose music, and create digital art that has garnered headlines and persuaded consumers and households to experiment on their own. As a result, a broader set of stakeholders are grappling with generative AI’s impact on business and society but without much context to help them make sense of it.

The speed at which generative AI technology is developing isn’t making this task any easier. ChatGPT was released in November 2022. Four months later, OpenAI released a new large language model, or LLM, called GPT-4 with markedly improved capabilities.1 Similarly, by May 2023, Anthropic’s generative AI, Claude, was able to process 100,000 tokens of text, equal to about 75,000 words in a minute—the length of the average novel—compared with roughly 9,000 tokens when it was introduced in March 2023.2 And in May 2023, Google announced several new features powered by generative AI, including Search Generative Experience and a new LLM called PaLM 2 that will power its Bard chatbot, among other Google products.3

To grasp what lies ahead requires an understanding of the breakthroughs that have enabled the rise of generative AI, which were decades in the making. For the purposes of this report, we define generative AI as applications typically built using foundation models. These models contain expansive artificial neural networks inspired by the billions of neurons connected in the human brain. Foundation models are part of what is called deep learning, a term that alludes to the many deep layers within neural networks. Deep learning has powered many of the recent advances in AI, but the foundation models powering generative AI applications are a step-change evolution within deep learning. Unlike previous deep learning models, they can process extremely large and varied sets of unstructured data and perform more than one task.

More in the McKinsey Report: The economic potential of generative AI

Authors
Michael Chui
Eric Hazan
Roger Roberts
Alex Singla
Kate Smaje
Alex Sukharevsky
Lareina Yee
Rodney Zemmel

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Organizations today face ten significant shifts. Here’s what to do about them

 

DOWNLOADS

Business leaders around the world are currently addressing not only economic volatility, geopolitical instability, and the lingering effects of the COVID-19 pandemic but also a range of organizational shifts that have significant implications for structures, processes, and people. The shifts include complex questions about how to organize for speed to shore up resilience, find the right balance between in-person and remote work models, address employees’ declining mental health,1 and build new institutional capabilities at a time of rapid technological change, among others.

To help CEOs and their leadership teams consider such questions, we have launched McKinsey’s The State of Organizations 2023 report. The report is an account of an ongoing research initiative that seeks both to pinpoint the most important shifts that organizations are grappling with and to provide some ideas and suggestions about how to approach them.

As part of the research, we conducted a survey of more than 2,500 business leaders around the world.2 Only half say their organizations are well prepared to anticipate and react to external shocks, and two-thirds see their organizations as overly complex and inefficient. We also spoke with business leaders to gather inspiring stories and best practices from beacons—organizations that have been able to adapt to recent economic and operational disruptions and forge new paths. Finally, we developed four points to consider in addressing the ten organizational shifts, leveraging the survey results, the quantitative research with executives, and insights from our work in the field and through existing McKinsey research.

The ten most significant shifts facing organizations today

Through the State of Organizations Survey, conversations with CEOs and their teams, and the findings of recent McKinsey research, we have identified ten of the most important organizational shifts that businesses need to address today. These shifts are both challenging and harbingers of opportunity, depending on how organizations address them.

1. Increasing speed, strengthening resilience.

2. ‘True hybrid’: The new balance of in-person and remote work.

3. Making way for applied AI

More: Full Report (92 pages)

Authors:  Patrick GuggenbergerDana MaorMichael Park, and Patrick Simon

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Manufacturing activity falls further – EY ITEM Club comments

  • The manufacturing downturn deepened in July, with the sector’s Purchasing Managers’ Index (PMI) heading further into contractionary territory. And with the impact of higher interest rates on household and corporate budgets growing, the EY ITEM Club doesn’t expect a significant uptick in manufacturing activity this year.
  • The S&P Global/CIPS survey also pointed to another fall in input cost inflation in the goods sector, adding to other leading indicators showing growing evidence of disinflation. But given the Bank of England’s focus on inflation in the services sector, this probably won’t have much bearing on its next interest rate decision later this week.

Martin Beck, Chief Economic Advisor to the EY ITEM Club, says: “July’s final S&P Global/CIPS manufacturing survey reported another decline in activity, with the PMI falling to 45.3 from 46.5 in June. The index was dragged down by a significant decline in production, with survey respondents suggesting that mounting uncertainty from rising interest rates had led to a softening in demand both at home and from abroad.

“But the fall in the PMI balance looks to have been exaggerated by some overstocked firms choosing to cut purchases amid improving supply chains, leading to a further fall in supplier delivery times. The PMI is also prone to being affected by sentiment, so the weight of recent bad news about rising mortgage rates may have depressed the outlook of survey respondents and dragged on the PMI.

“Beyond the survey’s disappointing set of backward-looking balances, its forward-looking indicators didn’t offer much positivity either. Respondents reported a large fall in new business, suggesting that manufacturing output is likely to remain weak in the near-term. Goods producers are likely to struggle over the rest of this year as rising borrowing costs and still-high inflation continue to squeeze household and corporate budgets.

“One area where the survey did offer some brighter news was on costs. Input cost inflation fell outright for the third consecutive month as pressures on transport and energy prices eased. But manufacturers appear to be attempting to rebuild margins rather than pass lower costs onto consumers, with factory gate charges remaining flat. Falling cost pressures should be welcomed by the Monetary Policy Committee (MPC), but the committee is unlikely to place much weight on the results of today’s survey. Instead, the MPC’s attention is likely to be focused on the much bigger services sector, where inflation has come down recently, but remains uncomfortably high. Therefore, the EY ITEM Club still expects the MPC to raise Bank Rate by 25bps later this week.”

More: EY

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Sevenet Story Scene SOPOT 18 maja 2023

  

To autorskie wydarzenie SEVENET, podczas którego opowiadamy nasze historie, ale i historie z naszym udziałem (czyli wdrożenia, opowieści technologiczne, etc). Każda prelekcja stanowi niejako kolejną, odrębną scene, która finalnie łączy się w jedną, wspólną całość. Łącznikiem tych historii jest Sevenet, jako integrator i partner w biznesie.

Sevenet S. A. jest firmą z branży IT, zajmującą się od 1997 roku dostawą zaawansowanych rozwiązań teleinformatycznych dla przedsiębiorstw
i instytucji w Polsce. Od czerwca 2011 roku akcje Spółki notowane są w Alternatywnym Systemie Obrotu rynku NewConnect.

SEVENET STORY SCENE PRELEGENCI

Agenda

REJESTRACJA UCZESTNIKÓW 10:00 – 11:00

Sesja Plenarna: Evidence-based growth™ Jak szlifować kompetencje, rozwijać talenty i korzystać z narzędzi, które weryfikuje nauka. 11:00 – 11:30 prelegent: Piotr Bucki
Sesja 1: A czemu by nie ćwierkać? Jeden system – wiele kanałów. Webex Connect – rewolucja w komunikacji. 11:30 – 12:00
Prelegent: Arkadiusz Rybacki / Sevenet S.A. Prelegent: Adrian Królikowski / Sevenet S.A.
Sesja 2: Gastroskopia po 40-ce, czyli analityka w data center w dobie przepustowości 40G i więcej. 12:00 – 12:20
Prelegent: Krzysztof Załęski / Sevenet S.A.
PRZERWA KAWOWA 12:20 – 12:40
Sesja 3: Dajmy nura i zajrzyjmy głębiej – wzbogacenie widoczności SD-WAN przy wykorzystaniu Cisco ThousandEyes. 12:40 – 13:00
Prelegent: Rafał Piwko / Sevenet S.A.
Sesja 4: Parasol na pochmurną pogodę. Cisco SASE (Umbrella & DUO) – rozwiązania bezpieczeństwa serwowane natywnie z chmury. 13:00 – 13:20 Prelegent: Bartosz Kuca / Sevenet S.A.
Sesja 5: Cyberbezpieczeństwo od A do Z, czyli od DNS poprzez mikrosegmentacje, a skończywszy na sieciach przemysłowych OT. Case study. 13:20 – 13:40 Prelegent: Aleksander Jagosz / Sevenet S.A. Prelegent: Marcin Białkowski / Sevenet S.A. Prelegent: Marcin Kornafel / Sevenet S.A.
LUNCH 13:40 – 15:00
NETWORKING 15:00 – 19:00
KOLACJA 19:00 – 20:00
ATRAKCJA WIECZORU 21:30 – 22:30