Listen to this “Finance in Focus” podcast series to hear a cast of interesting experts discuss how the wealth management industry is adapting to new and emerging technologies that include robo-advisors, blockchain, analytics, and cognitive. Over the course of 10 episodes, hosts Rob Stanich and Alex Baghdjian are joined by wealth management experts to discuss behavior financing, DOL fiduciary rule, social media marketing, account aggregation, millennials, surveillance, and regulations.
The science of client insight: Increase revenue through improved engagementIBM Analytics
As they compete in the modern business environment, companies are increasingly looking to sophisticated analytics and cognitive capabilities to help them gain a deep understanding of what matters to their clients. By knowing their customers well, organizations can provide targeted, personalized service that adds value and heightens customer loyalty. When they do, they can avoid churn while generating additional revenue models by creating meaningful cross-selling opportunities in a customer-centric world. Explore this ebook to discover a wide array of uses for client insights in banking and wealth management.
The Currency of Trust: Why Banks and Insurers Must Make Customer Data Safer a...Capgemini
Are banks and insurers a safe pair of hands when it comes to customer data? Our global survey of more than 180 senior data privacy and security professionals – as well as 7,600 consumers – found that less than a third (29%) of these organizations offer both strong data privacy practices and a sound security strategy. Just one in five (21%) are highly confident that they can detect a cybersecurity breach.
This picture has so far not unduly affected consumers’ perceptions of the industry. We found that 83% of consumers trust banks and insurers when it comes to data. And while one in four institutions have reported being victim of a hack, just 3% of consumers believe their own bank or insurer has ever been breached. However, with the pending General Data Protection Regulation (GDPR) regulations, this trust factor is likely to change as transparency increases. Financial organizations have to reveal a data breach 72 hours after the incident.
Banks and insurance firms have a clear incentive therefore to fortify their defences. As well as avoiding the prohibitive fines and penalties that will result from compromised data, protecting privacy offers a strategic business advantage. Addressing security concerns will drive greater adoption of low-cost digital channels. We found that security concerns deter nearly half of consumers (47%) from using digital channels. It will also reduce churn and attract competitors’ customers – 74% of consumers would switch their bank or insurer in the event of a data breach.
Preparing to be a trusted data steward is no easy task, however. It means raising the bar on multiple dimensions:
• Aligning data practices with consumers’ expectations
• Finding innovative ways of providing non-intrusive security to consumers
• Building the capabilities required to monitor cyber risks on a real-time basis
• Revisiting the data governance model.
Building your reputation for data privacy and robust security is definitely challenging. But, those who strike the right chord with consumers will enjoy a competitive advantage over their peers. The winners will be those who triumph in the trust game.
Protect Your Revenue Streams: Big Data & Analytics in TaxCapgemini
The game has changed since the onset of the financial crisis. Governments aiming to reduce budget deficits can only deliver so much through spending cuts. It is now even more vital that tax agencies ensure individuals and businesses pay the tax they owe, and that welfare fraud and error are minimised. Pretty will explain how he helps tax and welfare agencies tackle noncompliance, evasion and error. He will share client stories where billions of euros were saved, generating a return of at least 25 times the original investment.
By Ian Pretty,
Vice President, Global Tax & Welfare Leader
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, ...Molly Alexander
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, & ML Are Transforming the Fight Against Fraud, AML & Cybersecurity -Nadeem Asghar
Stewarding Data : Why Financial Services Firms Need a Chief Data OfficierCapgemini
The C-suite could soon start to feel a little crowded, with Chief Digital Officers, Chief Innovation Officers, Chief Risk Officers
and Chief Data Officers joining the more established functional leaders. To avoid C-suite proliferation, companies need to
decide whether to elevate a new functional role to “chief” based on the strategic importance of the issue for the organization and its sector. For example, in many organizations, marketing will be so essential to performance that few would deny the need for a CMO. In financial services, data has become so mission-critical that the role of Chief Data Officer is simply essential.
TechConnex Big Data Series - Big Data in BankingAndre Langevin
TechConnex is an industry forum for Canadian IT executives. This presentation from the fall of 2015 provides a survey of Hadoop adoption in the Canadian banking industry. Most adoption is driven by BCBS-239 implementation projects. The talk provides a broader risk systems perspective on Hadoop and discusses challenges and opportunities around the technology.
The science of client insight: Increase revenue through improved engagementIBM Analytics
As they compete in the modern business environment, companies are increasingly looking to sophisticated analytics and cognitive capabilities to help them gain a deep understanding of what matters to their clients. By knowing their customers well, organizations can provide targeted, personalized service that adds value and heightens customer loyalty. When they do, they can avoid churn while generating additional revenue models by creating meaningful cross-selling opportunities in a customer-centric world. Explore this ebook to discover a wide array of uses for client insights in banking and wealth management.
The Currency of Trust: Why Banks and Insurers Must Make Customer Data Safer a...Capgemini
Are banks and insurers a safe pair of hands when it comes to customer data? Our global survey of more than 180 senior data privacy and security professionals – as well as 7,600 consumers – found that less than a third (29%) of these organizations offer both strong data privacy practices and a sound security strategy. Just one in five (21%) are highly confident that they can detect a cybersecurity breach.
This picture has so far not unduly affected consumers’ perceptions of the industry. We found that 83% of consumers trust banks and insurers when it comes to data. And while one in four institutions have reported being victim of a hack, just 3% of consumers believe their own bank or insurer has ever been breached. However, with the pending General Data Protection Regulation (GDPR) regulations, this trust factor is likely to change as transparency increases. Financial organizations have to reveal a data breach 72 hours after the incident.
Banks and insurance firms have a clear incentive therefore to fortify their defences. As well as avoiding the prohibitive fines and penalties that will result from compromised data, protecting privacy offers a strategic business advantage. Addressing security concerns will drive greater adoption of low-cost digital channels. We found that security concerns deter nearly half of consumers (47%) from using digital channels. It will also reduce churn and attract competitors’ customers – 74% of consumers would switch their bank or insurer in the event of a data breach.
Preparing to be a trusted data steward is no easy task, however. It means raising the bar on multiple dimensions:
• Aligning data practices with consumers’ expectations
• Finding innovative ways of providing non-intrusive security to consumers
• Building the capabilities required to monitor cyber risks on a real-time basis
• Revisiting the data governance model.
Building your reputation for data privacy and robust security is definitely challenging. But, those who strike the right chord with consumers will enjoy a competitive advantage over their peers. The winners will be those who triumph in the trust game.
Protect Your Revenue Streams: Big Data & Analytics in TaxCapgemini
The game has changed since the onset of the financial crisis. Governments aiming to reduce budget deficits can only deliver so much through spending cuts. It is now even more vital that tax agencies ensure individuals and businesses pay the tax they owe, and that welfare fraud and error are minimised. Pretty will explain how he helps tax and welfare agencies tackle noncompliance, evasion and error. He will share client stories where billions of euros were saved, generating a return of at least 25 times the original investment.
By Ian Pretty,
Vice President, Global Tax & Welfare Leader
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, ...Molly Alexander
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, & ML Are Transforming the Fight Against Fraud, AML & Cybersecurity -Nadeem Asghar
Stewarding Data : Why Financial Services Firms Need a Chief Data OfficierCapgemini
The C-suite could soon start to feel a little crowded, with Chief Digital Officers, Chief Innovation Officers, Chief Risk Officers
and Chief Data Officers joining the more established functional leaders. To avoid C-suite proliferation, companies need to
decide whether to elevate a new functional role to “chief” based on the strategic importance of the issue for the organization and its sector. For example, in many organizations, marketing will be so essential to performance that few would deny the need for a CMO. In financial services, data has become so mission-critical that the role of Chief Data Officer is simply essential.
TechConnex Big Data Series - Big Data in BankingAndre Langevin
TechConnex is an industry forum for Canadian IT executives. This presentation from the fall of 2015 provides a survey of Hadoop adoption in the Canadian banking industry. Most adoption is driven by BCBS-239 implementation projects. The talk provides a broader risk systems perspective on Hadoop and discusses challenges and opportunities around the technology.
Slides from August 2015 webinar on the relevance of Fintech strategy for Broker Dealer firms. Webinar covered why Broker Dealer incumbents need a FinTech Strategy to survive industry disruption and how to create one
Cybersecurity-Anforderungen in IT-Sourcing-Projekten meistern – Ein Leitfaden...Capgemini
Managing Cybersecurity demands in IT sourcing projects: A guideline using the example of Identity & Access Management. This presentation outlines the topic of Identity & Access Management in complex IT landscapes and IT services supply chains by the help of practical examples and by comparing reality and cyberspace. It also makes recommendations for the access management for organizational IT systems.
BIG Data & Hadoop Applications in FinanceSkillspeed
Explore the applications of BIG Data & Hadoop in Finance via Skillspeed.
BIG Data & Hadoop in Finance is a key differentiator, especially in terms of generating greater investment insights. They are used by companies & professionals for risk assessment, fraud detection & forecasting trends in financial markets.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
How optimize the usage of data to driving innovation and efficiency, focused on Brazilian banking market landscape, highlighting main trends, key challenges, leverage managed data lakes and samples of use cases.
The wealth management industry around the world is witnessing a multitude of changes due to weak economies in the developed world, strong growth in developing markets like China and India, an uncertain political future in Europe, increasing regulatory supervision, and new competition from rising FinTechs and their innovative services for High Net Worth Individuals (HNWIs).
Our analysis in this paper revolves around the impact of the above mentioned dynamics on the industry players and how they are adapting through this phase of transformation.
Artificial Intelligence for Banking Fraud PreventionJérôme Kehrli
Artificial Intelligence at NetGuardians:
"From skepticism to large scale adoption towards fraud prevention"
Slides of my speech at the EPFL / EMBA Innovation Leader 2018 event.
The Capital Markets industry is ripe for disruption as participants cope with increasing competition and a stricter regulatory environment. Ecosystem firms are leveraging emerging technologies to support their transition to new and differentiating business/operating models that will enable efficiency efforts and profitability goals. However, rapid transformation also introduces the potential for significant security threats to critical components of the capital markets industry. This report explores the top-10 trends that industry participants will face in 2018 and beyond.
Transforming Insurance Operations through Data and AnalyticsDatalytyx
Analytics and big data is established in Insurance could be better. It's not joined up. Big data is an accelerator of what is possible.
Roger Oldham of Amethyst Business Consultancy explains the impact of big data and analytic technology in the Corporate / Wholesale Insurance market.
The Chief Data Officer: Bridging the gap between data and decision-makingExperian Data Quality
Data is becoming more integral in day-to-day operations, but many organizations cannot stop seeing their data as a challenge and start leveraging it as a strategic asset. Experian Data Quality recently conducted a study of more than 250 CIOs and CDOs in the U.S. and this webinar will discuss some of the key findings of our research.
On Tuesday, August 18th, we discussed how data is an untapped resource at most organizations, the emergence of the Chief Data Officer role, and how to ensure your organization is ready for the shift that this new role brings.
Key takeaways included:
- Tips for overcoming typical data challenges within your organization
- The rise of data management and how it is affecting the CIO role
- The new and growing need for a Chief Data Officer
Pixels.camp - Machine Learning: Building Successful Products at ScaleAntónio Alegria
See video at: https://www.youtube.com/watch?v=p7s1lcaeoZk
How to build Machine Learning products that scale and autonomously evolve using open source technologies like Spark, Cassandra, Hadoop and many others.
While data technologies have been exploding and becoming commoditized, using them effectively to build a product that delivers real value to users can be a mysterious art. A lot of companies still use "gather data, think about it later" but then fail to put that data to work.
Let’s demystify machine learning system’s Data Science lifecycle (from data to production to a continuously evolvable system). Explore the fundamental recipe to build data-learning products that put data to work and provide experiences that are, ironically, more human.
Analytics driving innovation and efficiency in BankingGianpaolo Zampol
Point of view around main trends and challenges to leverage Analytics in Banking industry, looking for Brazilian market landscape.
Overview on key and emerging topics: Big Data & Analytics, Fundamental Review of Trading Book (FRTB) and Risk-Adjusted Performance Management (RAPM)
Slides from August 2015 webinar on the relevance of Fintech strategy for Broker Dealer firms. Webinar covered why Broker Dealer incumbents need a FinTech Strategy to survive industry disruption and how to create one
Cybersecurity-Anforderungen in IT-Sourcing-Projekten meistern – Ein Leitfaden...Capgemini
Managing Cybersecurity demands in IT sourcing projects: A guideline using the example of Identity & Access Management. This presentation outlines the topic of Identity & Access Management in complex IT landscapes and IT services supply chains by the help of practical examples and by comparing reality and cyberspace. It also makes recommendations for the access management for organizational IT systems.
BIG Data & Hadoop Applications in FinanceSkillspeed
Explore the applications of BIG Data & Hadoop in Finance via Skillspeed.
BIG Data & Hadoop in Finance is a key differentiator, especially in terms of generating greater investment insights. They are used by companies & professionals for risk assessment, fraud detection & forecasting trends in financial markets.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
How optimize the usage of data to driving innovation and efficiency, focused on Brazilian banking market landscape, highlighting main trends, key challenges, leverage managed data lakes and samples of use cases.
The wealth management industry around the world is witnessing a multitude of changes due to weak economies in the developed world, strong growth in developing markets like China and India, an uncertain political future in Europe, increasing regulatory supervision, and new competition from rising FinTechs and their innovative services for High Net Worth Individuals (HNWIs).
Our analysis in this paper revolves around the impact of the above mentioned dynamics on the industry players and how they are adapting through this phase of transformation.
Artificial Intelligence for Banking Fraud PreventionJérôme Kehrli
Artificial Intelligence at NetGuardians:
"From skepticism to large scale adoption towards fraud prevention"
Slides of my speech at the EPFL / EMBA Innovation Leader 2018 event.
The Capital Markets industry is ripe for disruption as participants cope with increasing competition and a stricter regulatory environment. Ecosystem firms are leveraging emerging technologies to support their transition to new and differentiating business/operating models that will enable efficiency efforts and profitability goals. However, rapid transformation also introduces the potential for significant security threats to critical components of the capital markets industry. This report explores the top-10 trends that industry participants will face in 2018 and beyond.
Transforming Insurance Operations through Data and AnalyticsDatalytyx
Analytics and big data is established in Insurance could be better. It's not joined up. Big data is an accelerator of what is possible.
Roger Oldham of Amethyst Business Consultancy explains the impact of big data and analytic technology in the Corporate / Wholesale Insurance market.
The Chief Data Officer: Bridging the gap between data and decision-makingExperian Data Quality
Data is becoming more integral in day-to-day operations, but many organizations cannot stop seeing their data as a challenge and start leveraging it as a strategic asset. Experian Data Quality recently conducted a study of more than 250 CIOs and CDOs in the U.S. and this webinar will discuss some of the key findings of our research.
On Tuesday, August 18th, we discussed how data is an untapped resource at most organizations, the emergence of the Chief Data Officer role, and how to ensure your organization is ready for the shift that this new role brings.
Key takeaways included:
- Tips for overcoming typical data challenges within your organization
- The rise of data management and how it is affecting the CIO role
- The new and growing need for a Chief Data Officer
Pixels.camp - Machine Learning: Building Successful Products at ScaleAntónio Alegria
See video at: https://www.youtube.com/watch?v=p7s1lcaeoZk
How to build Machine Learning products that scale and autonomously evolve using open source technologies like Spark, Cassandra, Hadoop and many others.
While data technologies have been exploding and becoming commoditized, using them effectively to build a product that delivers real value to users can be a mysterious art. A lot of companies still use "gather data, think about it later" but then fail to put that data to work.
Let’s demystify machine learning system’s Data Science lifecycle (from data to production to a continuously evolvable system). Explore the fundamental recipe to build data-learning products that put data to work and provide experiences that are, ironically, more human.
Analytics driving innovation and efficiency in BankingGianpaolo Zampol
Point of view around main trends and challenges to leverage Analytics in Banking industry, looking for Brazilian market landscape.
Overview on key and emerging topics: Big Data & Analytics, Fundamental Review of Trading Book (FRTB) and Risk-Adjusted Performance Management (RAPM)
How Robo Advisers, Fintech Are Revolutionising Wealth ManagementDinis Guarda
How Robo Advisers, Fintech Are Revolutionising Wealth Management. A Reflection and presentation about trends and ideas related with the topic and what is happening in the industry
Insights Success has shortlisted “The 20 Most Innovative FinTech Solution Providers 2018.” Our Cover Story features Advisor Software, Inc., which simplifies the process by bringing tried and tested functionality to the systems you already use. ASI focuses on advancing the science of wealth planning so financial advisors can focus on the art of advice delivery.
How artificial intelligence (ai) write the personalized communications of fin...IJARIIT
As monetization strategies shift from neatly defined, one-time purchases to subtler long-term relationships that are
built on a combination of ongoing product and service-based cash flow, financial professionals need to define a distinct and
automatable process for generating innovative, accurate, clear and thorough financial reports combining elements of trust and
respect intact.
I delivered a talk on application of Artificial Intelligence in Fintech to the visiting students of University of Applied Sciences, Wurzburg-Schweinfurt, Germany at Christ University
The Top 5 Fintech Trends Everyone Should Be Watching In 2020Bernard Marr
While historically slower to embrace change, the financial industry is adopting fintech trends, technology that can automate and improve financial services, to respond to consumer demand and provide more efficient and effective services. Here are the top five fintech trends everyone should be watching in 2020.
How Insurers Can Harness Artificial IntelligenceCognizant
Once science fiction, artificial intelligence now holds vast potential for insurers interested in reinventing their business models and transforming customer experience.
The Fintech 100 includes leading 50 fintech
companies across the globe, and the most intriguing
50 ‘emerging stars’ – exciting new fintechs with bold,
disruptive and potentially game-changing ideas –
expanding on the success of last year’s list. Presented here strictly for academic purposes...
Financial Services Innovation and Disruption: What's Happening and What to Ex...Dushyant Shahrawat, CFA
Presentation at Boston Meetup on Innovation:
Analyzing the current state of Financial Services Innovation: how Digitization, FinTechs and FAANGs are transforming Finance
The 100 Leading Global Fintech Innovators 2015 H2 Ventures
We are pleased to present the second annual ‘Fintech 100’, the best fintech innovators, this year from 19 countries around the world.
The Fintech 100 are those companies using technology to the best advantage and driving disruption within the financial services industry. These companies have a commitment to excellence, superior customer experience and a demonstrated ability to do one thing in a market better than everyone else.
The Fintech 100 includes the leading 50 fintech companies across the globe, and the most intriguing 50 ‘emerging stars’ – exciting new fintechs with bold, disruptive and potentially game-changing ideas – expanding on the success of last year’s list.
Visit www.fintechinnovators.com for more information
Software development is part of the DNA of Ingenia. In more than 20 years of existence, we have evolved with the technologies available, offering our clients applications, developments and products to satisfy their needs.
20 most innovative companies in Fintech IndustrySumit Roy
Global fintech financing has more than trebled in the past three years to an estimated US$3 billion annually and the level of innovation in the financial services sector has been unprecedented over the past 12 months. The level of spend and intensity of focus will – and already has – led to the development and release of products and solutions that will change the way customers view and interact with their financial services
An introduction to IBM Data Lake by Mandy Chessell CBE FREng CEng FBCS, Distinguished Engineer & Master Inventor.
Learn more about IBM Data Lake: https://ibm.biz/Bdswi9
Advantages of an integrated governance, risk and compliance environmentIBM Analytics
Risk management is increasingly becoming a strategic, executive-sponsored solution that many organizations view as providing a competitive advantage. When companies have an aggregated view of all the different kinds of risk and compliance data, they can start to generate insights about how to run the business better. In this presentation, learn why and how to empower business leaders to make more risk-aware decisions with visibility across controls and associated issues and actions throughout the organization.
The banking industry will benefit from adopting the latest technology advancements that include artificial intelligence and cognitive computing. These technologies provide the opportunity to mine the massive amounts of transactional data that banks have collected over the past decades to better serve their customers, automate time-consuming mundane tasks and to integrate the act of banking into the lives of consumers.
Learn how: http://ibm.co/bankinganalytics
Sales performance management and C-level goalsIBM Analytics
Before diving into planning for sales compensation, get a fix on the company’s business goals and strategy. See why having a framework in place is critical when designing a sales strategy and compensation program.
Learn more: http://www.ibm.com/analytics/us/en/business/sales-performance-management/
Expert opinion on managing data breachesIBM Analytics
For the first time, cybersecurity strategy is an integral part of the platforms for the US presidential candidates. Today, data breaches and cyber attacks are no longer just one offs but seemingly happen daily and impact both the private sector and government. What are we doing to minimize these data breaches and counter cyber attacks? What’s the role of government in fighting cyber crime? Where does the public sector fit in the cyber-crime puzzle? Cybersecurity experts Dan Lohrmann, Scott Schober, Shahid Shah, Eric Vanderburg and Morgan Wright address these questions.
Top industry use cases for streaming analyticsIBM Analytics
Organizations need to get high value from streaming data to gain new clients and capitalize on market opportunities. Discover how IBM Streams is best suited for use cases that has the need for high speed and low latency.
The key to the cognitive business is putting data to work. What is needed is a platform, an ecosystem, and a method.
Learn more about http://ibm.co/dataworks
IBM CDO Fall Summit 2016 Keynote: Driving innovation in the cognitive eraIBM Analytics
What does it take to drive Innovation in the Cognitive Era? Bob Picciano, Senior Vice President IBM Analytics and Inderpal Bhandari, Global Chief Data Officer, IBM gave this presentation to the CDOs and data professionals in attendance at the IBM Chief Data Officer Strategy Summit in Fall of 2016.
Learn more about the role of CDO: http://ibm.co/2cXasXy
4 common headaches with sales compensation managementIBM Analytics
Gain insights and solutions to four highly common headaches that companies face in their sales performance management processes. Learn more: http://ibm.com/spm
IBM Virtual Finance Forum 2016: Top 10 reasons to attendIBM Analytics
Explore the top 10 reasons to attend IBM's Virtual Finance Forum 2016 for insights and best practices on performance management in the cognitive era. Attend your choice of three broadcasts of IBM's Virtual Finance Forum 2016: http://bit.ly/oct5am, http://bit.ly/Oct512Noon or http://bit.ly/oct5eve.
In the domain of data science, solving problems and answering questions through data analysis is standard practice. Data scientists experiment continuously by constructing models to predict outcomes or discover underlying patterns, with the goal of gaining new insights. Organizations can then use these insights to strengthen customer relationships, improve service delivery and drive new opportunities. To help guide the processes and activities within a given domain, data scientists and engineers need a foundational methodology that provides a framework for how to proceed with whichever methods or tools they will use to obtain answers and deliver results. In this presentation, we will share data science tips for data engineers.
Join the Data Science Experience: http://ibm.co/data-science
How secure is your enterprise from threats? IBM Analytics
Modern enterprises are vulnerable to a wide range of threats that can put customers, employees and even the organization’s brand at serious risk. Staying ahead of diverse threats as they evolve requires not only continuous monitoring and analysis of disparate data sets but also the fusing of the resulting insights into a single intelligence picture. This allows organizations to gain a comprehensive understanding of the diverse threats and vulnerabilities that can put the entire enterprise at risk.
Noting that defense and national security agencies have employed this ongoing analysis and fusion approach for years, commercial organizations and civilian government agencies have begun adopting similar processes when setting up security operations centers and fusion centers. Whether you have a fusion center or are simply seeking to understand and mitigate your threats, IBM i2 Enterprise Insight Analysis can help you develop a comprehensive approach to enterprise intelligence with which you can neutralize the threats that menace your enterprise.
Collaboration is crucial to today’s workforce. Whether you are in a traditional office setting, work from home or travel extensively, there are tools needed to achieve successful content collaboration.
Whether your mission is to improve external collaboration, increase scalability or focus on security and compliance, find out how content collaboration with Box can improve your ROI.
To find out more on how to improve your content journey, visit IBM ECM and Box: http://ibm.co/ibm-box-partnership
The digital transformation of the French OpenIBM Analytics
For decades, IBM and the Fédération Francaise de Tennis have been tennis partners, using real-time analytics as their winning serve to create a cross-platform fan experience. Learn about IBM’s game-changing site redesign for The French Open and platform innovations to enhance the tournament experience for both attendees and virtual fans.
Bridging to a hybrid cloud data services architectureIBM Analytics
Enterprises are increasingly evolving their data infrastructures into entire cloud-facing environments. Interfacing private and public cloud data assets is a hallmark of initiatives such as logical data warehouses, data lakes and online transactional data hubs. These projects may involve deploying two or more of the following cloud-based data platforms into a hybrid architecture: Apache Hadoop, data warehouses, graph databases, NoSQL databases, multiworkload SQL databases, open source databases, data refineries and predictive analytics.
Data application developers, data scientists and analytics professionals are driving their organizations’ efforts to bridge their data to the cloud. Several questions are of keen interest to those who are driving an organization’s evolution of its data and analytics initiatives into more holistic cloud-facing environments:
• What is a hybrid cloud data services architecture?
• What are the chief applications and benefits of a hybrid cloud data services architecture?
• What are the best practices for bridging a logical data warehouse to the cloud?
• What are the best practices for bridging advanced analytics and data lakes to the cloud?
• What are the best practices for bridging an enterprise database hub to the cloud?
• What are the first steps to take for bridging private data assets to the cloud?
• How can you measure ROI from bridging private data to public cloud data services?
• Which case studies illustrate the value of bridging private data to the cloud?
Sign up now for a free 3-month trial of IBM Analytics for Apache Spark and IBM Cloudant, IBM dashDB or IBM DB2 on Cloud.
http://ibm.co/ibm-cloudant-trial
http://ibm.co/ibm-dashdb-trial
http://ibm.co/ibm-db2-trial
http://ibm.co/ibm-spark-trial
What does data tell you about the customer journey?IBM Analytics
In this omnichannel world, consumers leave clues about their purchasing decisions at every touch point. What data analytics can you leverage to optimize your marketing message and merchandising? Well, it turns out, a lot.
What CEOs want from CDOs and how to deliver on itIBM Analytics
Cortnie Abercrombie, Emerging Roles Leader, IBM gave this presentation on what Chief Executive Officers want from Chief Data Officers and how to deliver on it at CDOvision 2016.
Learn more about the various roles of CDOs: http://ibm.co/cdolookbook
Wimbledon fans love real-time analyticsIBM Analytics
Real-time analytics from IBM helped Wimbledon share moments that matter with tennis fans worldwide. Learn more about what you can do with Media & Entertainment solutions: http://ibm.co/mediainsight.
How IoT and weather data are transforming business decisionsIBM Analytics
IBM and The Weather Company are combining business data, weather data and data from the Internet of Things (IoT) to transform enterprise decision making. Learn more about leveraging weather data in your industry: http://ibm.co/weatherinsight.
how to sell pi coins in South Korea profitably.DOT TECH
Yes. You can sell your pi network coins in South Korea or any other country, by finding a verified pi merchant
What is a verified pi merchant?
Since pi network is not launched yet on any exchange, the only way you can sell pi coins is by selling to a verified pi merchant, and this is because pi network is not launched yet on any exchange and no pre-sale or ico offerings Is done on pi.
Since there is no pre-sale, the only way exchanges can get pi is by buying from miners. So a pi merchant facilitates these transactions by acting as a bridge for both transactions.
How can i find a pi vendor/merchant?
Well for those who haven't traded with a pi merchant or who don't already have one. I will leave the telegram id of my personal pi merchant who i trade pi with.
Tele gram: @Pi_vendor_247
#pi #sell #nigeria #pinetwork #picoins #sellpi #Nigerian #tradepi #pinetworkcoins #sellmypi
Poonawalla Fincorp and IndusInd Bank Introduce New Co-Branded Credit Cardnickysharmasucks
The unveiling of the IndusInd Bank Poonawalla Fincorp eLITE RuPay Platinum Credit Card marks a notable milestone in the Indian financial landscape, showcasing a successful partnership between two leading institutions, Poonawalla Fincorp and IndusInd Bank. This co-branded credit card not only offers users a plethora of benefits but also reflects a commitment to innovation and adaptation. With a focus on providing value-driven and customer-centric solutions, this launch represents more than just a new product—it signifies a step towards redefining the banking experience for millions. Promising convenience, rewards, and a touch of luxury in everyday financial transactions, this collaboration aims to cater to the evolving needs of customers and set new standards in the industry.
how can I sell pi coins after successfully completing KYCDOT TECH
Pi coins is not launched yet in any exchange 💱 this means it's not swappable, the current pi displaying on coin market cap is the iou version of pi. And you can learn all about that on my previous post.
RIGHT NOW THE ONLY WAY you can sell pi coins is through verified pi merchants. A pi merchant is someone who buys pi coins and resell them to exchanges and crypto whales. Looking forward to hold massive quantities of pi coins before the mainnet launch.
This is because pi network is not doing any pre-sale or ico offerings, the only way to get my coins is from buying from miners. So a merchant facilitates the transactions between the miners and these exchanges holding pi.
I and my friends has sold more than 6000 pi coins successfully with this method. I will be happy to share the contact of my personal pi merchant. The one i trade with, if you have your own merchant you can trade with them. For those who are new.
Message: @Pi_vendor_247 on telegram.
I wouldn't advise you selling all percentage of the pi coins. Leave at least a before so its a win win during open mainnet. Have a nice day pioneers ♥️
#kyc #mainnet #picoins #pi #sellpi #piwallet
#pinetwork
If you are looking for a pi coin investor. Then look no further because I have the right one he is a pi vendor (he buy and resell to whales in China). I met him on a crypto conference and ever since I and my friends have sold more than 10k pi coins to him And he bought all and still want more. I will drop his telegram handle below just send him a message.
@Pi_vendor_247
The European Unemployment Puzzle: implications from population agingGRAPE
We study the link between the evolving age structure of the working population and unemployment. We build a large new Keynesian OLG model with a realistic age structure, labor market frictions, sticky prices, and aggregate shocks. Once calibrated to the European economy, we quantify the extent to which demographic changes over the last three decades have contributed to the decline of the unemployment rate. Our findings yield important implications for the future evolution of unemployment given the anticipated further aging of the working population in Europe. We also quantify the implications for optimal monetary policy: lowering inflation volatility becomes less costly in terms of GDP and unemployment volatility, which hints that optimal monetary policy may be more hawkish in an aging society. Finally, our results also propose a partial reversal of the European-US unemployment puzzle due to the fact that the share of young workers is expected to remain robust in the US.
how to sell pi coins in all Africa Countries.DOT TECH
Yes. You can sell your pi network for other cryptocurrencies like Bitcoin, usdt , Ethereum and other currencies And this is done easily with the help from a pi merchant.
What is a pi merchant ?
Since pi is not launched yet in any exchange. The only way you can sell right now is through merchants.
A verified Pi merchant is someone who buys pi network coins from miners and resell them to investors looking forward to hold massive quantities of pi coins before mainnet launch in 2026.
I will leave the telegram contact of my personal pi merchant to trade with.
@Pi_vendor_247
how to swap pi coins to foreign currency withdrawable.DOT TECH
As of my last update, Pi is still in the testing phase and is not tradable on any exchanges.
However, Pi Network has announced plans to launch its Testnet and Mainnet in the future, which may include listing Pi on exchanges.
The current method for selling pi coins involves exchanging them with a pi vendor who purchases pi coins for investment reasons.
If you want to sell your pi coins, reach out to a pi vendor and sell them to anyone looking to sell pi coins from any country around the globe.
Below is the contact information for my personal pi vendor.
Telegram: @Pi_vendor_247
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how can I sell my pi coins for cash in a pi APPDOT TECH
You can't sell your pi coins in the pi network app. because it is not listed yet on any exchange.
The only way you can sell is by trading your pi coins with an investor (a person looking forward to hold massive amounts of pi coins before mainnet launch) .
You don't need to meet the investor directly all the trades are done with a pi vendor/merchant (a person that buys the pi coins from miners and resell it to investors)
I Will leave The telegram contact of my personal pi vendor, if you are finding a legitimate one.
@Pi_vendor_247
#pi network
#pi coins
#money
What website can I sell pi coins securely.DOT TECH
Currently there are no website or exchange that allow buying or selling of pi coins..
But you can still easily sell pi coins, by reselling it to exchanges/crypto whales interested in holding thousands of pi coins before the mainnet launch.
Who is a pi merchant?
A pi merchant is someone who buys pi coins from miners and resell to these crypto whales and holders of pi..
This is because pi network is not doing any pre-sale. The only way exchanges can get pi is by buying from miners and pi merchants stands in between the miners and the exchanges.
How can I sell my pi coins?
Selling pi coins is really easy, but first you need to migrate to mainnet wallet before you can do that. I will leave the telegram contact of my personal pi merchant to trade with.
Tele-gram.
@Pi_vendor_247
how can i use my minded pi coins I need some funds.DOT TECH
If you are interested in selling your pi coins, i have a verified pi merchant, who buys pi coins and resell them to exchanges looking forward to hold till mainnet launch.
Because the core team has announced that pi network will not be doing any pre-sale. The only way exchanges like huobi, bitmart and hotbit can get pi is by buying from miners.
Now a merchant stands in between these exchanges and the miners. As a link to make transactions smooth. Because right now in the enclosed mainnet you can't sell pi coins your self. You need the help of a merchant,
i will leave the telegram contact of my personal pi merchant below. 👇 I and my friends has traded more than 3000pi coins with him successfully.
@Pi_vendor_247
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