A comprehensive view for current and influential factors for a highly disrupted industry . The report is a global look with some focus on Egypt. It includes also some analytics capabilities for the banking industry Big Brother Analytics is able to perform.
www.bigbrotheranalytics.com
If successful, 5G will radically transform societies & economies over the next 10-20 years ushering a new era of Digital Humans & Digital Enterprises. 5G must enhance humans & empower new generations to navigate new worlds
How will the #tech industry change in 2018? My team shares our predictions for how edge computing for the IoT, China’s growing tech sector, the IPO market and more will shape the industry this year:
How will the #tech industry change in 2018? My team shares our predictions for how edge computing, enterprise bots, China’s growing tech sector, a robust IPO market, and more will shape the industry this year. Original post: https://goo.gl/pks6C6
The Next Tsunami AI Blockchain IOT and Our Swarm Evolutionary SingularityDinis Guarda
The Next Tsunami AI Blockchain IOT and Our Swarm Evolutionary Singularity. AI is going to change everything? Wrong! AI changed already everything! But… Did we forgot our human swarm intelligence evolutionary nature?
Human, tech, evolution – individual – business - identity?
In this complex ecosystem, what is our human singularity?
What is creativity in a digitalised, blockchain, nano technology - IoT AI evolutionary swarm world? The Internet of Everything needs a Trust Protocol: A Ledger of Everything.
Blockchain tech is the open, distributed, global platform that fundamentally changes what we can digitally, how we do it, and who can participate. A world wide ledger smart contract based tech powered by AI.
If successful, 5G will radically transform societies & economies over the next 10-20 years ushering a new era of Digital Humans & Digital Enterprises. 5G must enhance humans & empower new generations to navigate new worlds
How will the #tech industry change in 2018? My team shares our predictions for how edge computing for the IoT, China’s growing tech sector, the IPO market and more will shape the industry this year:
How will the #tech industry change in 2018? My team shares our predictions for how edge computing, enterprise bots, China’s growing tech sector, a robust IPO market, and more will shape the industry this year. Original post: https://goo.gl/pks6C6
The Next Tsunami AI Blockchain IOT and Our Swarm Evolutionary SingularityDinis Guarda
The Next Tsunami AI Blockchain IOT and Our Swarm Evolutionary Singularity. AI is going to change everything? Wrong! AI changed already everything! But… Did we forgot our human swarm intelligence evolutionary nature?
Human, tech, evolution – individual – business - identity?
In this complex ecosystem, what is our human singularity?
What is creativity in a digitalised, blockchain, nano technology - IoT AI evolutionary swarm world? The Internet of Everything needs a Trust Protocol: A Ledger of Everything.
Blockchain tech is the open, distributed, global platform that fundamentally changes what we can digitally, how we do it, and who can participate. A world wide ledger smart contract based tech powered by AI.
This report begins with an examination of the global IoT industry and continues by looking into the Chinese IoT industry and its innovators. The report concludes with an analysis of the possible future opportunities and implications that China's expanding IoT industry could entail for Finland.
Unlocking Pakistan's digital potential: The economic opportunities of digital...FairTechInstitute
There is a significant economic prize attached to accelerating Pakistan’s digital transformation. AlphaBeta’s study (commissioned by Google) finds that digital technologies can unlock PKR9.7 trillion (USD 59.7 billion) worth of annual economic value in Pakistan by 2030.
Key messages from the research include: there is a significant economic prize attached to accelerating Pakistan’s digital transformation; there are three areas of action required for Pakistan to fully capture its digital opportunity; and through its programmes and products, Google is making contributions to Pakistan’s digital transformation journey and supports benefits to businesses, consumers, and the broader society.
Disruptive Technologies – A 2021 UpdateCTRM Center
In 2021, Commodity Technology Advisory LLC (ComTech) published its first Disruptive Technologies research report (that version kindly sponsored by FIS). Technologies covered in the study scope included cloud/SaaS, Artificial Intelligence (AI), Machine Learning (ML), big data, automation and blockchain, amongst others. The findings were supported by an industry survey that led to the broad conclusions that cloud/SaaS and data management initiatives were in flight. AI, ML and automation seemed to be prepping for an explosion of use while blockchain was overhyped and lagging. Over the last couple of years, our general market observations as analysts have largely confirmed the results of the research.
The promise — and potential — of blockchain to drive social impact is massive, but how much of it is hype and how much is reality? This slideshow includes highlights and case studies from the Stanford Graduate School of Business study “Blockchain for Social Impact: Moving Beyond the Hype.” It includes data on the landscape as a whole, as well as spotlights on eight sectors: Agriculture, Democracy, Identity, Energy, Financial Inclusion, Health, Land Rights, and Philanthropy.
The Chinese government has set ambitious goals in its big data industry development to foster new economic drivers. One of these goals is e.g. to increase the annual sales of China’s big data industry (including related goods and services) to RMB 1 trillion by 2020 from an estimated RMB 280 billion in 2015. This report examines the Chinese big data industry and its innovators along with possible future opportunities and implications that China's expanding big data industry could entail for Finland.
4IR AI Blockchain Fintech IoT book presentation by Dinis GuardaDinis Guarda
4IR - AI Blockchain Fintech IoT
- Reinventing a Nation
- Book by Dinis Guarda and Rais Hussin, presentation by Dinis Guarda
Governments need to make sure society benefits from 4IR technological innovations and that these are led and harnessed by them, and not by big tech global titans or minimum work side by side in meaningful ways.
Let now be a new dawn on this front. Let this be our joint responsibility focus and pledge for a new era and create a new drive that uses, manages and controls this powerful set of 4IR Blockchain AI Fintech IoT technologies for our good. For, by, managed and controlled by Nations cooperating with each other, and the people.
Don’t fear the transformative power of 4IR change.
Embrace it, use its power to your own benefit.
EU Data Market study. Presentation at NESSI Summit 2014 IDC & Open EvidenceKasia Szkuta
The study aims to define, assess and measure the European data economy as well as build a genuine stakeholders’ ecosystem. Find us on http://datalandscape.eu and @eudatalandscape
Before the pandemic, themes that were driving technology demand in the capital markets were regulatory compliance and cost-cutting.
Technologies in demand in the capital markets in recent years were Big Data, AI/ML, Blockchain, and Cloud Computing.
Even amid the global economic gloom, the capital markets were not uneventful. As per S&P Global, the global bond issuance is expected to be 16% higher in 2020 compared to 2019 amid record-low interest rates and markets flooded with liquidity. As per data from the World Federation of Exchanges, the value of share trading globally registered a 49.74% increase in H1 of 2020 compared with H2 of 2019. Exchange-traded derivatives volumes were up 23.4% when compared with H2 2019, reaching a record 21.72 billion contracts traded.
Cost pressures, exacerbated by COVID-19, likely to accelerate automation initiatives as banks cut headcounts rapidly.
Technology implementations due to compliance requirements such as the Second Markets in Financial Instruments Directive (MiFID2) and the Fundamental Review of the Trading Book (FRTB) likely to be sources of demand for companies providing technology to the capital market sector. The companies providing automation of compliance processes are already attracting a higher amount of venture funds. Technology providers focusing on Data Analytics, AI/ML, IaaS and Biometrics, etc. are expected to gain from the trends.
Another important factor is the rapid adoption of work-from-home culture. A significant portion of the firms may opt for a permanent work-from-home or a hybrid work culture. This shift is likely to increase demand for cloud transformation services.
Even though many financial services firms may cut IT spending for a few quarters, compliance automation, cost-cutting initiatives, and cloud transformations will continue to create demand for capital market technology providers.
The global microlearning market generated revenue of US$ 1,520.5 million in 2020 and is expected to reach US$ 2,746.2 million by 2025 with a CAGR of 12.6% in the forecast period. The microlearning market report offers a comprehensive market analysis of the different segments and regions that lets readers make crucial business-related decisions with a wealth of information enclosed in this report. The research report offers both qualitative and quantitative information on the global microlearning market. In qualitative terms, the microlearning market report provides insights into numerous factors, such as market determinants, value chain analysis, emerging trends, growth opportunity analysis, porters five-force model analysis and macro-economic factors, segment analysis, regional analysis at a granular level. Similarly, in quantitative terms, the report provides historical and forecast market numbers of microlearning in various segments such as by component, deployment model, enterprise size & industry at global, regional, and country-level. In addition, the report provides a detailed analysis of the market vendors and their product offerings. The report also covers details of the competitive market environment and includes information on the capabilities and competencies of market vendors.
This report begins with an examination of the global IoT industry and continues by looking into the Chinese IoT industry and its innovators. The report concludes with an analysis of the possible future opportunities and implications that China's expanding IoT industry could entail for Finland.
Unlocking Pakistan's digital potential: The economic opportunities of digital...FairTechInstitute
There is a significant economic prize attached to accelerating Pakistan’s digital transformation. AlphaBeta’s study (commissioned by Google) finds that digital technologies can unlock PKR9.7 trillion (USD 59.7 billion) worth of annual economic value in Pakistan by 2030.
Key messages from the research include: there is a significant economic prize attached to accelerating Pakistan’s digital transformation; there are three areas of action required for Pakistan to fully capture its digital opportunity; and through its programmes and products, Google is making contributions to Pakistan’s digital transformation journey and supports benefits to businesses, consumers, and the broader society.
Disruptive Technologies – A 2021 UpdateCTRM Center
In 2021, Commodity Technology Advisory LLC (ComTech) published its first Disruptive Technologies research report (that version kindly sponsored by FIS). Technologies covered in the study scope included cloud/SaaS, Artificial Intelligence (AI), Machine Learning (ML), big data, automation and blockchain, amongst others. The findings were supported by an industry survey that led to the broad conclusions that cloud/SaaS and data management initiatives were in flight. AI, ML and automation seemed to be prepping for an explosion of use while blockchain was overhyped and lagging. Over the last couple of years, our general market observations as analysts have largely confirmed the results of the research.
The promise — and potential — of blockchain to drive social impact is massive, but how much of it is hype and how much is reality? This slideshow includes highlights and case studies from the Stanford Graduate School of Business study “Blockchain for Social Impact: Moving Beyond the Hype.” It includes data on the landscape as a whole, as well as spotlights on eight sectors: Agriculture, Democracy, Identity, Energy, Financial Inclusion, Health, Land Rights, and Philanthropy.
The Chinese government has set ambitious goals in its big data industry development to foster new economic drivers. One of these goals is e.g. to increase the annual sales of China’s big data industry (including related goods and services) to RMB 1 trillion by 2020 from an estimated RMB 280 billion in 2015. This report examines the Chinese big data industry and its innovators along with possible future opportunities and implications that China's expanding big data industry could entail for Finland.
4IR AI Blockchain Fintech IoT book presentation by Dinis GuardaDinis Guarda
4IR - AI Blockchain Fintech IoT
- Reinventing a Nation
- Book by Dinis Guarda and Rais Hussin, presentation by Dinis Guarda
Governments need to make sure society benefits from 4IR technological innovations and that these are led and harnessed by them, and not by big tech global titans or minimum work side by side in meaningful ways.
Let now be a new dawn on this front. Let this be our joint responsibility focus and pledge for a new era and create a new drive that uses, manages and controls this powerful set of 4IR Blockchain AI Fintech IoT technologies for our good. For, by, managed and controlled by Nations cooperating with each other, and the people.
Don’t fear the transformative power of 4IR change.
Embrace it, use its power to your own benefit.
EU Data Market study. Presentation at NESSI Summit 2014 IDC & Open EvidenceKasia Szkuta
The study aims to define, assess and measure the European data economy as well as build a genuine stakeholders’ ecosystem. Find us on http://datalandscape.eu and @eudatalandscape
Before the pandemic, themes that were driving technology demand in the capital markets were regulatory compliance and cost-cutting.
Technologies in demand in the capital markets in recent years were Big Data, AI/ML, Blockchain, and Cloud Computing.
Even amid the global economic gloom, the capital markets were not uneventful. As per S&P Global, the global bond issuance is expected to be 16% higher in 2020 compared to 2019 amid record-low interest rates and markets flooded with liquidity. As per data from the World Federation of Exchanges, the value of share trading globally registered a 49.74% increase in H1 of 2020 compared with H2 of 2019. Exchange-traded derivatives volumes were up 23.4% when compared with H2 2019, reaching a record 21.72 billion contracts traded.
Cost pressures, exacerbated by COVID-19, likely to accelerate automation initiatives as banks cut headcounts rapidly.
Technology implementations due to compliance requirements such as the Second Markets in Financial Instruments Directive (MiFID2) and the Fundamental Review of the Trading Book (FRTB) likely to be sources of demand for companies providing technology to the capital market sector. The companies providing automation of compliance processes are already attracting a higher amount of venture funds. Technology providers focusing on Data Analytics, AI/ML, IaaS and Biometrics, etc. are expected to gain from the trends.
Another important factor is the rapid adoption of work-from-home culture. A significant portion of the firms may opt for a permanent work-from-home or a hybrid work culture. This shift is likely to increase demand for cloud transformation services.
Even though many financial services firms may cut IT spending for a few quarters, compliance automation, cost-cutting initiatives, and cloud transformations will continue to create demand for capital market technology providers.
The global microlearning market generated revenue of US$ 1,520.5 million in 2020 and is expected to reach US$ 2,746.2 million by 2025 with a CAGR of 12.6% in the forecast period. The microlearning market report offers a comprehensive market analysis of the different segments and regions that lets readers make crucial business-related decisions with a wealth of information enclosed in this report. The research report offers both qualitative and quantitative information on the global microlearning market. In qualitative terms, the microlearning market report provides insights into numerous factors, such as market determinants, value chain analysis, emerging trends, growth opportunity analysis, porters five-force model analysis and macro-economic factors, segment analysis, regional analysis at a granular level. Similarly, in quantitative terms, the report provides historical and forecast market numbers of microlearning in various segments such as by component, deployment model, enterprise size & industry at global, regional, and country-level. In addition, the report provides a detailed analysis of the market vendors and their product offerings. The report also covers details of the competitive market environment and includes information on the capabilities and competencies of market vendors.
The global data masking market generated a revenue of US$ 443.5 million in 2020 and is expected to reach US$ 862.2 million by 2025 with a CAGR of 14.2% in the forecast period. The data masking market report offers a comprehensive market analysis of the different segments and regions that lets readers make crucial business-related decisions with a wealth of information enclosed in this report. Also, the data masking market report provides insights into numerous factors, such as market determinants, value chain analysis, emerging trends, growth opportunity analysis, porters five-fold model analysis, and macro-economic factors, at a granular level that lets readers understand the past and present market scenario and also helps to predict the potential growth of the data masking market in the forecast period.
The global content intelligence market generated revenue of US$ 500.4 million in 2020 and is expected to reach US$ 1,896.2 million by 2025 with a CAGR of 30.5% in the forecast period. The content intelligence market report offers a comprehensive market analysis of the different segments and regions that lets readers make crucial business-related decisions with a wealth of information enclosed in this report. The research report offers both qualitative and quantitative information on the global content intelligence market. In qualitative terms, the content intelligence market report provides insights into numerous factors, such as market determinants, value chain analysis, emerging trends, growth opportunity analysis, porters five-force model analysis and macro-economic factors, segment analysis, regional analysis at a granular level. Similarly, in quantitative terms, the report provides historical and forecast market numbers of content intelligence in various segments such as by component, deployment model, enterprise size & industry at global, regional, and country-level. In addition, the report provides a detailed analysis of the market vendors and their product offerings. The report also covers details of the competitive market environment and includes information on the capabilities and competencies of market vendors.
The global data masking market generated a revenue of US$ 443.5 million in 2020 and is expected to reach US$ 862.2 million by 2025 with a CAGR of 14.2% in the forecast period. The data masking market report offers a comprehensive market analysis of the different segments and regions that lets readers make crucial business-related decisions with a wealth of information enclosed in this report. Also, the data masking market report provides insights into numerous factors, such as market determinants, value chain analysis, emerging trends, growth opportunity analysis, porters five-fold model analysis, and macro-economic factors, at a granular level that lets readers understand the past and present market scenario and also helps to predict the potential growth of the data masking market in the forecast period.
Global Digital Transformation Market: Size, and Trends with Impact of COVID-1...Daedal Research
In 2021, the global digital transformation market was valued at US$601.12 billion and is anticipated to grow to US$2065.47 billion by 2027. For more: info@daedal-research.com
Technology will continue to play a big role in terms of the global economy. Countries need to revisit their various policies as part of supporting the technology sector in their country.
Red-hot inflation hit a 40-year high of 9.1% in June combined with two quarters of GDP contraction resulting in a technical recession. In response, the Federal Reserve has further raised key interest rates by 0.75%, helping to push the S&P 500 into bear market territory. As software public market performance continues to slide, investors seek to be more scrutinous of opportunities, shifting focus to profit over growth.
Madison Park Group actively monitors public equity market activity across a range of technology sectors. In our Q2 2022 Software & Technology Public Market Update Report readers will find market and financial data relevant to a range of critical sectors.
How the Public Sector Policies can support FDI and Economic Growth .pptxpaul young cpa, cga
All levels of government need to work together on tax and regulatory reforms.
Aligning education with jobs of today and tomorrow
Addressing policies impact key input costs like energy or occupancy or land or other area.
Incubation hubs that include all universities and colleges to betters support taking ideas from incubation to market
Focusing on policies that will better support building a resilient supply chain
Focusing on the size of government including improving the model as part focusing value for money and the improvement of outcomes.
Better balanced between climate change policies and growing the economy in a sustainable way.
The Future of Finance in 2022 - Blais, Chow, Mills, NormanJen Chow
This body of work on the Future of Consumer to Business Payment was prepared by Eric Leo Blais, Jen Chow, Jessica Mills, and Richard Norman in Fall 2011 as part of their Foresight Studio in OCAD University's Master of Design in Strategic Foresight and Innovation program.
Feel free to send questions or comments to @jenchow or jen[at]jenchow.ca. Thanks for reading!
Mercer Capital's Value Focus: FinTech Industry | Fourth Quarter 2022 Mercer Capital
Mercer Capital’s quarterly newsletter, FinTech Watch, provides an overview of the FinTech industry, including public market performance, valuation multiples for public FinTech companies, and articles of interest from around the web. This newsletter focuses on FinTech segments, including payment processors, technology, and solutions companies, examining general economic and industry trends as well as a summary of M&A and venture capital activity.
At Alpha, we have following business priorities that our executives are trying to solve:
1. Can Alpha be the Transformation Pioneer in modernising Digital Banking?
Disruptions in the business landscape and the impact of technology are compelling banks to shift to innovative business models, while delivering superior experience with agility. Banks are challenged majorly on two fronts. On one hand, the changing customer expectations and the entry of innovative players in the market are driving them to be highly competitive to stay relevant. On the other hand, new regulations are striving for changes that promote more competition and collaboration in the ecosystem. They have created an undeniable need for the payment architecture and banking services to be highly flexible and efficient.
The team at Alpha constantly innovates and works towards shaping the future in payments, digital channels, credit services, digital core, and commercial and corporate banking. How can the team ensure growth and market leadership in the sector?
2. How can Alpha foray into consulting industry and become amongst the top 10 consulting companies in the next 5-10 years?
The pandemic has forced several sectors to adopt new ways of working. Even the primarily client-driven consulting sector has had to adapt to new methods of service, structure, technology and operation.The upcoming years will be all about going digital. Artificial Intelligence would be used to process, handle and analyse huge amounts of data efficiently and faster.
The task for Consulting firms therefore, would be to add value to their clients by using analytical tools and offer quantifiable results, combining the domain knowledge of SMEs with technology to provide products and solutions.
The team at Alpha wants to leverage its long drawn domain expertise and serve its client to become the most sought after consulting firms in the world.
Global Digital Identity Management Market Analysis, 2020 - MarkNtel AdvisorsMarkNtel Advisors
According to MarkNtel Advisors’ research report “Global Digital Identity Management Market Analysis, 2020”, the Global Digital Identity Management market is anticipated to grow at a CAGR of around 15% during 2021-26F.
Reports URL- https://www.marknteladvisors.com/research-library/global-digital-identity-management.html
MarkNtel_Global Digital Identity Management Market Analysis, 2020_Sample.pdfAdrenaSharma
The growth of the Digital Identity Management market is attributed to factors such as the burgeoning rate of cybercrime and frauds in identity and authentication, escalating integration of biometrics in smartphones, and rising focus on enhanced end-to-end customer experience.
apidays London 2022 - The State of Banking APIs 2022, Mark Boyd, Platformableapidays
apidays London 2022 - The Path from Open Banking to Embedded Finance
October 26 & 27, 2022
The State of Banking APIs 2022
Mark Boyd, Director at Platformable
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
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https://apilandscape.apiscene.io/
Deep dive into the API industry with our reports:
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Virtual Data Room Market PPT: Growth, Outlook, Demand, Keyplayer Analysis and...IMARC Group
The global virtual data room market size reached US$ 2.5 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 7.2 Billion by 2032, exhibiting a growth rate (CAGR) of 12% during 2024-2032.
More Info:- https://www.imarcgroup.com/virtual-data-room-market
The global penetration testing market generated revenue of US$ 1,296.6 million in 2020 and is expected to reach US$ 3,233.2 million by 2025 with a CAGR of 20.1% in the forecast period. The penetration testing market report offers a comprehensive market analysis of the different segments and regions that lets readers make crucial business-related decisions with a wealth of information enclosed in this report. Also, the penetration testing market report provides insights into numerous factors, such as market determinants, value chain analysis, emerging trends, growth opportunity analysis, porters five-fold model analysis and macro-economic factors, at a granular level that lets readers understand the past and present market scenario and also helps to predict the potential growth of the penetration testing market in the forecast period.
Similar to 2022 Banking Outlook By BBA - MediaSci (20)
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
1. Big Brother Analytics®. All Copyrights Reserved 2022. BBA is Owned and Developed By MediaSci
BBA Analytics® For
Banking
2022 . BBA is Owned and Developed By MediaSci
O u t l o o k O f G l o b a l B a n k i n g I n d u s t r y
2. Big Brother Analytics® and its derivatives are copy rights of MediaSci Corp | 2022
08/07/1443
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Big Brother Analytics®. All Copyrights Reserved 2022. BBA is Owned and Developed By MediaSci
Table Of Content
1. Outlook Of Global Banking Industry | 2022
2. Factors Influencing Digital Transformation In Banking
3. Fintech Status
4. Digital Marketing Status In Banking
5. OSINT And Alternative Data Sources In Egypt
a) BBA Analytics For Retail Banking
b) BBA Analytics For Digital Banking
c) BBA Analytics For Corporate Banking
6. BBA wide Array Of Professional Services
09-Feb-22 2
3. Big Brother Analytics® and its derivatives are copy rights of MediaSci Corp | 2022
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Big Brother Analytics®. All Copyrights Reserved 2022. BBA is Owned and Developed By MediaSci
Intro
• Global economy is being bombarded by so many unforeseen factors that
dictate smart and fast changes to stay healthy and profitable.
• The threads come from not only the pandemic, but also the rise of disrupting
technologies supported by tech giants who are invading different markets
virtually and with much less regulations. In addition to political instability
between the west and the east.
• In this report we will try to highlight some factorial insights to the bankers in
order to help them see ahead and plan their next big move , and micro moves
as well.
• We have scanned so many related reports globally and regionally and we
hope you find this document as helpful as we tried to.
• And we remind you that our BBA platform able to provide more in depth
insights , and alerts locally and globally .
App Anne – HBR – DW.com – Goldman Schas – KPMG China – Europian Finacial Forum – Egyptian FinTech Association - Global FinTech
Federation. LinkedIn.com – Meta.
Sources
4. Big Brother Analytics® and its derivatives are copy rights of MediaSci Corp | 2022
08/07/1443
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Big Brother Analytics®. All Copyrights Reserved 2022. BBA is Owned and Developed By MediaSci
Outlook Of Global Banking Industry
For 2022
5. Big Brother Analytics® and its derivatives are copy rights of MediaSci Corp | 2022
08/07/1443
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Big Brother Analytics®. All Copyrights Reserved 2022. BBA is Owned and Developed By MediaSci
• Monetary policy
• Tech disruption
• Evolving regulations
are forcing financial
institutions to take a hard
look at their business
models.
Banking is Changing
Fast With New
Challenges. Banking
As Usual Is Passé.
6. Big Brother Analytics®. All Copyrights Reserved 2022. BBA is Owned and Developed By MediaSci
“War is 90% information”
- Napoleon Bonaparte
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Big Brother Analytics®. All Copyrights Reserved 2022. BBA is Owned and Developed By MediaSci
9. Big Brother Analytics® and its derivatives are copy rights of MediaSci Corp | 2022
Big Brother Analytics®. All Copyrights Reserved 2022 . BBA is Owned and Developed By MediaSci
10. Big Brother Analytics® and its derivatives are copy rights of MediaSci Corp | 2022
How the ranking of the largest companies in the
United State & world changed bet. 1995 and 2020.
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Big Brother Analytics®. All Copyrights Reserved 2022 . BBA is Owned and Developed By MediaSci
The tech giants Facebook (now Meta), Amazon,
Apple, Google (now Alphabet), Microsoft, and
Netflix are all so successful—and generate so
much cash—that they seem virtually
unstoppable.
While many believe that technological disruption has been rampant for decades, the
internet has actually caused much less creative destruction than people think. An
analysis of the Fortune 500 and the Global 500, in fact, reveals that most sectors
have been surprisingly stable over the past 25 years. Very few firms on those lists
today were launched after 1995.
What else is misunderstood? The best response to disrupters. The default is to fight
back with a new digital unit or a transformation. But there are three other viable
strategies: doubling down on your existing strengths (as Disney did); retrenching to
ensure your survival (as banks are doing); and moving into new opportunities (as Fuji
did). Each strategy has benefits and risks, and your circumstances determine which
one you should pursue.
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1. Vaccine-resistant COVID variants
2. Supply chain bottlenecks
3. A slowdown in China, the world's second-largest economy, would
certainly add to investor worries in 2022.
4. Geopolitical tensions
5. Soaring inflation
The global economic recovery is being held back by the ongoing
COVID pandemic. However, the mutating coronavirus is just one of
the main risks which could dampen investor spirits in the coming
year.
5 threats to the global economy in 2022
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Outlook Of Global
Banking Industry For 2022
Status Of
The
industry
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Factors Influencing Digital Marketing
In Banking
Industry Insights
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Digital Marketing Status In Banking
Industry Insights
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Alt Data Sources For Egypt Banking
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Alt Data Sources For Egypt
1. All social network banking groups and pages
2. Banks branches: Address data & GPS coordinates
3. Central Department of Statistics & Information: Demographic variables
4. Third Party: competitors branches
5. Google Maps
6. Knoema: platform for users with interests in statistics and data analysis. (Alternative Data)
7. Invest in Egypt: Egypt's investment map offers opportunities in an array of sectors
and across various geographies.
8. Yellow Pages
9. Digital Egypt: GIS data (Alternative Data)
10.Planet Orbit: Satellite data data (Alternative Data)
11.Maps of world: Sell Maps.)
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1. Virtlo App: Bank branches locations.
2. Kompass
3. Dalil 140
4. 140 Online
5. AddArea
6. Up 42: GIS data (Alternative Data)
7. Humdata: Humanitarian Data Exchange (Alternative Data)
8. Geospatial: GIS data (Alternative Data
Alt Data Sources For Egypt
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Data Sources:
09-Feb-22 39
Agro-Banking Centric
Over 500 Real estate
Influences for projects
• All branches’ locations
• Branches which make the best performance
• Locations
• Agricultural area around the site
• The type of agricultural crops around the site
• Total sales values for the last 6 months
• Survey for a sample of bank clients to ask them some questions
about their locations and the transportations there
• Branches which make the worst performance
• Locations
• Agricultural area around the site
• The type of agricultural crops around the site
• Total sales for the last 6 months
• Survey for a sample of bank clients to ask them some questions
about their locations and the transportations there
• Will develop an algorithm to check the correlations
• Discover new indicators
• Recommendations for new openings and predictions
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Data Sources:
Real Estate Banking Centric
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Real Estate Developer
• What type of buildings do people interest in ?
• What is the most developer that people love, hate
and expect ? And why
Real Estate Buyer Tracker preferences:
▪ Unit Types
▪ Payment Plans
▪ Locations
▪ Unit Design Components
▪ Purpose of purchase (Invest or first home)
▪ Prices
▪ Commercial or Residential?
▪ Finishing preference (Semi / Fully Finished)
▪ Amenities preferred
▪ How many are interested in Investing (Secondary
home) vs. Purchasing a primary home?
▪ How much are they willing to pay to upgrade their
units?
Over 500 Real estate
Influences for projects
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-What will we benefit from these insights ?
Did Building Pyramids
Really Benefit Egypt
Did Space
Exploration
Really Benefit
Humanity
Data analytics
drives Retail
Banking
The One
Billion Dollar
question
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It is impossible for the market to benefit
most families if too many are obstructed
from finding their best fit.
we’re in the midst of a paradigm shift,
with significant implications for how
scholars think about the economy and
the policy levers policymakers can choose
from.
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BBA Analytics For Retail Banking
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BBA Analytics For Retail Banking
Industry
Report
Imputed Income
Prediction
Dashboard
Product (X) Listening Report
Buyer Behavior Tracker
SMEs Banking
Services
▪ Reputation
Analysis
▪ Buying Cycle
▪ Product Analysis
▪ Sentiment
Analysis
▪ Official and non-official income prediction
Software.
▪ We have profiled the Egyptians by professions
and added to that many attributes that affects
their total income , like location , gender , life
style .And of course their official profession , and
the non-official ones too.
▪ Example :Auto Loan Product
▪ Target Audience deep understanding Vs.
Competitors
▪ Demand size analysis VS. competitors
▪ Buying Cycle analysis VS. competitors
▪ Most demanded cars brands VS. competitors
▪ Most demanded cars brands (Product) VS.
competitors
▪ Buyer Tracker can track consumer behavior prior to the
emergence of COVID19 and during its outbreak so as to
compare both periods, measure the impact of COVID-19 On
the industry and provide data-driven recommendations and
insights.
▪ Financing programs’ ecosystem
▪ Business opportunity
▪ SME Program Analysis
▪ Entrepreneurs of Egypt identification
01
05
04
03
02
00
Site Selection
&
Analysis
▪ Demographics &
Psychographics Of the
Geos
▪ Farms Satellite Insights
▪ Competition mapping
▪ Population sizing
▪ Buying Power index
▪ Emotions Analysis
▪ Customers Service Performance
▪ Target Audience deep
understanding
▪ Content Strategy
▪ Content Performance
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BBA Analytics For Digital Banking
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Social Listening Report
Campaign
Effectiveness
Banking Service Buyer
Behavior Tracker
▪ Reputation analysis
▪ Sentiment and Emotions analysis
▪ Competition analysis
• Your services VS. competitors
• Your mobile application VS. competitors
• Your customer services VS competitors
• Your brands, products and etc. VS. comp
• Your awareness VS. competitors
• Your Campaign effectiveness VS. compet
• Your Offers VS. competitors
▪ Measure social media performance before, during, and
after an exact social media campaign, so as to
compare all periods, so we can measure the campaign
effectiveness.
▪ Content Strategy
▪ Content Performance
▪ The Buyer Tracker will help predict the campaign
parameters.
▪ You can save 30% : 40% of your social media
advertising budget.
▪ You can save your time by knowing your potential
audience from day one instead of campaign
optimization many times.
01
04
03
02
Digital Chemistry (Digital Marketing Strategy)
▪ Strategy formula
▪ Stages
▪ Strategy
▪ Tactics
▪ Platforms
▪ Content structure
▪ Content ideas
▪ Media plan
▪ Categories
▪ Techniques
▪ Budgets and ads split
▪ SEO keywords
▪ LinkedIn strategy
BBA Analytics
For Digital
Banking
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BBA Analytics For Corporate Banking
Big Brother Analytics® and its derivatives are copy rights of MediaSci Corp | 2022
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BBA Analytics
For Corporate
Banking
Fintech (Artificial Intelligence Loan Decision System)
(Industry Risk) Small Business Borrower
Index
Buyer Behavior
Tracker
▪ The user enters the metadata and gets prediction as to the
probability of how far the client will delay in his payments or not
and based on the threshold the user can target the level of
acceptance and rejection from the total universe or in each
branch, the user can report the acceptance and rejection of
statistics for accumulated profiles with any metadata criteria.
▪ BBA software will identify people
who need big/small loans but they
can/can’t pay the installments
because of any sudden changes
which effect on their business
(COVID-19). The collected, cleansed,
and analyzed data, will be
structured in a way that can be
used for machine train MicroSafe
Platform to accurately regain its
predictive accuracy, and change
expectations in different markets.
01
03
02
▪ Buyer Tracker can track consumer behavior prior to the
emergence of COVID19 and during its outbreak so as to
compare both periods, measure the impact of COVID-19 On
the industry and provide data-driven recommendations and
insights.
Big Brother Analytics® and its derivatives are copy rights of MediaSci Corp | 2022
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OSINT Training
Robots development
BBA Training For :
•System Admin
•Operators
•Executive Users
Dashboard Customization:
•Web based
•Desktop based
Control Room Designing
Integration with:
•ERP
•CRM
•Marketing Automation
BBA wide Array Of
Professional Services
Certified Training
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Thank You