Change enough before change changes you to irrelevance! CMI gets you major breakthrough to move ahead of your competitor. Pharma Marketing in India has always used CMI but never organised it. It was always a Chaos.
The document discusses how data analytics and financial technology (fintech) companies are revolutionizing the banking industry. It provides definitions of key terms like fintech and describes how fintech companies exploit inherent risks in banking through data-driven lending. Several use cases of data analytics in banking are outlined, along with some of the risks to traditional banks from these new competitors. Techniques of data science that can be applied in banking are listed. The document aims to outline how data analytics is transforming financial services.
Financial services companies are undergoing a revolution driven by data analytics and new technologies. Non-traditional fintech companies have an advantage over traditional banks by exploiting inherent risks in banking like weak growth and low interest rates. Data-driven lending provides benefits like more customized products and services based on analyzing customer spending patterns and other data. Traditional banks will need to respond by adopting these new data and analytical approaches to remain competitive.
This document summarizes a company called Data1Qbit that collects and analyzes cybersecurity data from companies and products globally. It transforms how businesses make cybersecurity purchasing decisions by providing a comprehensive data repository and analytics to compare options. The company has developed a proprietary system and data collection processes, and has validated its model with businesses. It is seeking a Series A investment of $11 million to further develop its recurring subscription products and data monopoly position to better protect networks and make cybersecurity affordable and effective for all.
Artificial Intelligence and Digital Banking - What about fraud prevention ?Jérôme Kehrli
Artificial intelligence for banking fraud prevention.
A presentation on how it takes its root in the digitalisation ways and how it impacts customer experience.
The 451 Group is a leading technology analyst and data company that helps executives make better decisions. Through its five divisions, the 451 Group provides critical insight into emerging technology markets such as cloud computing, infrastructure, information management, mobility, and security. The company publishes syndicated research reports, offers analyst advisory services, and hosts events to support strategic decision making for technology vendors, investors, and end users. Founded in 2000 and headquartered in New York, the 451 Group has over 165 staff across several global offices.
Lis 2013 05_16_mobile applications in the service of life insurance_natalia m...Natalia Maszota
The document discusses challenges and trends in mobile applications for life insurance, as well as popular and recommended solutions. It notes that simply replicating online portal functions or focusing on a single platform or app are insufficient. The recommended solution is a multi-functional mobile insurance advisor app that provides value to agents, employees and customers across operating systems and devices, while integrating with online channels to streamline processes and sharing of data.
Big data provides opportunities for financial institutions to gain competitive advantages. It allows them to analyze vast amounts of structured and unstructured data from various sources to better understand customers, identify risks, predict behaviors, and improve financial products and services. While big data implementations face challenges like integrating diverse data sources and developing analytics talent, companies that execute big data strategies are seeing significant benefits like more personalized customer experiences and better risk management. TD Bank is an example of a company revolutionizing IT and banking through big data analytics that can build comprehensive customer profiles and segment their entire customer base within minutes.
The document discusses how data analytics and financial technology (fintech) companies are revolutionizing the banking industry. It provides definitions of key terms like fintech and describes how fintech companies exploit inherent risks in banking through data-driven lending. Several use cases of data analytics in banking are outlined, along with some of the risks to traditional banks from these new competitors. Techniques of data science that can be applied in banking are listed. The document aims to outline how data analytics is transforming financial services.
Financial services companies are undergoing a revolution driven by data analytics and new technologies. Non-traditional fintech companies have an advantage over traditional banks by exploiting inherent risks in banking like weak growth and low interest rates. Data-driven lending provides benefits like more customized products and services based on analyzing customer spending patterns and other data. Traditional banks will need to respond by adopting these new data and analytical approaches to remain competitive.
This document summarizes a company called Data1Qbit that collects and analyzes cybersecurity data from companies and products globally. It transforms how businesses make cybersecurity purchasing decisions by providing a comprehensive data repository and analytics to compare options. The company has developed a proprietary system and data collection processes, and has validated its model with businesses. It is seeking a Series A investment of $11 million to further develop its recurring subscription products and data monopoly position to better protect networks and make cybersecurity affordable and effective for all.
Artificial Intelligence and Digital Banking - What about fraud prevention ?Jérôme Kehrli
Artificial intelligence for banking fraud prevention.
A presentation on how it takes its root in the digitalisation ways and how it impacts customer experience.
The 451 Group is a leading technology analyst and data company that helps executives make better decisions. Through its five divisions, the 451 Group provides critical insight into emerging technology markets such as cloud computing, infrastructure, information management, mobility, and security. The company publishes syndicated research reports, offers analyst advisory services, and hosts events to support strategic decision making for technology vendors, investors, and end users. Founded in 2000 and headquartered in New York, the 451 Group has over 165 staff across several global offices.
Lis 2013 05_16_mobile applications in the service of life insurance_natalia m...Natalia Maszota
The document discusses challenges and trends in mobile applications for life insurance, as well as popular and recommended solutions. It notes that simply replicating online portal functions or focusing on a single platform or app are insufficient. The recommended solution is a multi-functional mobile insurance advisor app that provides value to agents, employees and customers across operating systems and devices, while integrating with online channels to streamline processes and sharing of data.
Big data provides opportunities for financial institutions to gain competitive advantages. It allows them to analyze vast amounts of structured and unstructured data from various sources to better understand customers, identify risks, predict behaviors, and improve financial products and services. While big data implementations face challenges like integrating diverse data sources and developing analytics talent, companies that execute big data strategies are seeing significant benefits like more personalized customer experiences and better risk management. TD Bank is an example of a company revolutionizing IT and banking through big data analytics that can build comprehensive customer profiles and segment their entire customer base within minutes.
The presentation discusses how RApTOR can help analyze and leverage big data across multiple industries. It provides examples of how big data analytics can be used to improve fraud detection for banks, analyze social media for brands, cluster stores in retail, and enhance healthcare and energy services. Specific benefits highlighted include detecting transaction fraud in real-time, informing marketing strategies, optimizing product placement, and improving customer experiences.
Big Data vs. Big Risk: Real-Time Trade Surveillance in Financial MarketsArcadia Data
Who’s winning the deep forensic analysis ‘arms race’ for compliance?
Real-time trade surveillance in global financial markets has created a data tsunami.
With greater volumes of data comes greater compliance risk. CNBC reports U.S. Banks have been fined over $200B since the financial crisis. How are compliance teams fighting back to make more of the data and stay out of regulatory hot water?
Rapid response to suspect trades means compliance teams need to access and visualize trade patterns, real time and historic data, to navigate the data in depth and flag possible violations.
Join Hortonworks and Arcadia for this live webinar: we’ll cover the use case at a top 50 Global Bank who now has deep forensic analysis of trade activity. The result: interactive, ad hoc data visualization and access across multiple platforms – without limits on historic data – to detect irregularities as they happen.
Check out how big data is proving invaluable to finance. Here is the top 10 big data trends in finance. Big data place a vital role in analysing the feeds, Predictive models, forecasts & assess trading impacts
Introduction to cambridge semantics trade surveillance 2015John Rueter
Anzo Trade Forensics and Compliance is a smart data solution for financial services that provides customizable analytics, rules, queries and graph visualization. It ingests structured data like watch lists, market data and trade blotters as well as unstructured data like news articles, emails and research reports. Anzo connects this diverse data using a conceptual data model and provides intuitive investigation and analytics across all sources. Potential compliance dashboards include watch list analysis, employee trading reviews, market price swings analysis and email surveillance.
Using Big Data in Finance by Jonah EnglerJonah Engler
How can you utilize Big Data in the Financial Industry? To leverage Big Data - entrepreneur and finance expert Jonah Engler, has put together this presentation to help the slideshare community understand the value - and HOW TO - use big data in the financial campaigns.
Jonah Engler is a financial expert and stock broker based in NYC. Leveraging his experience in finance, Engler has gone on to have success in the franchise, coffee, startup industries and more. To connect with Jonah - checkout his profile on LinkedIn: https://www.linkedin.com/in/jonahengler
Real-time, high-frequency trading (HFT) is placing increasing pressure on regulatory compliance teams to keep up with and monitor the industry's widening pools of structured and unstructured data. Emerging technologies can help capital markets firms use big-data analytics to collect, classify and analyze high volumes of data to formulate strategies for better surveillance, compliance and spot abuse.
P.A.I.D Strategies is a consulting firm that provides strategic analysis and market intelligence on payments, authentication, identity, and security technologies. They have over 15 years of experience analyzing digital solutions, smart cards, mobile devices, IoT, and related technologies. Their services include viewpoints, market reports, strategic reports, custom research, and retainer packages to help clients understand these complex markets and make informed decisions.
This document discusses how data analytics and financial technology (fintech) companies are revolutionizing the banking industry. It notes that non-traditional fintech firms have an advantage over traditional banks by exploiting two inherent risks in banking - credit risk and operational risk. Data-driven lending allows fintech companies to more accurately assess credit risk. The document also states that traditional banks will need to respond by adopting new technologies and business models to compete in this changing landscape.
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
In this session we will discuss the business case for a proactive, real-time fraud prevention strategy which enables you to maximize revenue opportunities whilst minimizing fraud. During the session we will create a fraud management check list which combines People, Processes and Technology, underpinned by data, analysis and tailored rules.
This document discusses how financial services companies are using data analytics. It defines data analytics as using new applications and processes derived from independent service providers and banks/insurers to automate insurance, trading, and risk management. Some key points made include:
- Financial services companies are using data science techniques like customer profiling and segmentation to increase cross-selling success rates and improve fraud detection.
- Case studies show how banks like Capital One and Citi are using customer transaction data to develop new products and identify business patterns.
- Data analytics can help financial institutions optimize processes, improve customer service, and inform product and pricing decisions.
- Risks of data analytics include loss of customer focus, diminished margins from new
This document discusses the challenges insurance providers face in making decisions using large amounts of data and traditional analysis methods. It introduces Atidot's solution which is a data platform and suite of apps that can automatically clean, analyze, and integrate internal and external data to power predictive models and business apps. This allows insurers to improve customer insights, risk assessment, marketing, and business results. A proposed pilot program is described that would apply Atidot's platform and tools to a sample of policies to optimize distribution channels, detect lapse reasons, and generate new leads.
Patents are a good information resource for obtaining IoT (Internet of Things) technology development status. IOT big data analytics is becoming important to process unimaginably large amounts of information and data that are obtained by the sensor embedded interconnected IoT devices. The typical IoT big data analytics is Hadoop, an open-source software framework that supports data-intensive distributed applications, and the running of applications on large clusters of commodity hardware. Hadoop, that is based on the architectural framework MapReduce, collects both structured data and unstructured data, processes the collected data set in a distributed network cluster in parallel, and extracts valuable information from the processed data set within a short time. Followings illustrate some examples of patents that provide current status of the IoT big data analytics technology development.
The document discusses smart plant supervision using Internet of Things (IoT) technology. It describes how IoT can be used to remotely monitor industrial equipment and processes using sensors, aggregate and analyze the sensor data using predictive analytics, and take actions like scheduling maintenance to prevent failures and optimize operations. Implementing such a smart plant supervision system using IoT could reduce costs through minimized downtime and waste while improving productivity, safety, and other benefits for manufacturing and other industries. The document provides examples of potential use cases and components of an IoT framework for smart plant supervision.
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 451 Group is a technology analyst and data company focused on providing critical insight into emerging technology markets to support strategic decision-making. Founded in 2000 and headquartered in New York, it has over 165 staff including 30+ analysts covering areas like infrastructure, applications, security, and more. Clients include technology vendors, investors, service providers, and enterprises who rely on 451 Group's research, data, advisory services, and events to inform decisions.
With this presentation I wanted to highlight a number of trends in the healthcare sector and some major challenges born out of the current healthcare delivery model. I’d then like to propose an alternative model in which the combination of distributed patient and diagnostic data collection, cloud technology and AI would support better healthcare tailored to the individual at lost cost to payers. I would conclude by highlighting opportunities for AI-led innovation.
Healthcare Information Technology (HIT) Market Competitive Research And Preci...subishsam
The research firm Contrive Datum Insights has just recently added to its database a report with the heading global Healthcare Information Technology (HIT) Market.Both primary and secondary research methodologies have been utilised in order to conduct an analysis of the worldwide Healthcare Information Technology (HIT) Market. In order to provide a comprehensive comprehension of the topic at hand, it has been summed up using appropriate and accurate market insights. According to Contrive Datum Insights, this worldwide comprehensive report is broken up into several categories in order to present the data in a way that is understandable, succinct, and presented in a professional manner.
The presentation discusses how RApTOR can help analyze and leverage big data across multiple industries. It provides examples of how big data analytics can be used to improve fraud detection for banks, analyze social media for brands, cluster stores in retail, and enhance healthcare and energy services. Specific benefits highlighted include detecting transaction fraud in real-time, informing marketing strategies, optimizing product placement, and improving customer experiences.
Big Data vs. Big Risk: Real-Time Trade Surveillance in Financial MarketsArcadia Data
Who’s winning the deep forensic analysis ‘arms race’ for compliance?
Real-time trade surveillance in global financial markets has created a data tsunami.
With greater volumes of data comes greater compliance risk. CNBC reports U.S. Banks have been fined over $200B since the financial crisis. How are compliance teams fighting back to make more of the data and stay out of regulatory hot water?
Rapid response to suspect trades means compliance teams need to access and visualize trade patterns, real time and historic data, to navigate the data in depth and flag possible violations.
Join Hortonworks and Arcadia for this live webinar: we’ll cover the use case at a top 50 Global Bank who now has deep forensic analysis of trade activity. The result: interactive, ad hoc data visualization and access across multiple platforms – without limits on historic data – to detect irregularities as they happen.
Check out how big data is proving invaluable to finance. Here is the top 10 big data trends in finance. Big data place a vital role in analysing the feeds, Predictive models, forecasts & assess trading impacts
Introduction to cambridge semantics trade surveillance 2015John Rueter
Anzo Trade Forensics and Compliance is a smart data solution for financial services that provides customizable analytics, rules, queries and graph visualization. It ingests structured data like watch lists, market data and trade blotters as well as unstructured data like news articles, emails and research reports. Anzo connects this diverse data using a conceptual data model and provides intuitive investigation and analytics across all sources. Potential compliance dashboards include watch list analysis, employee trading reviews, market price swings analysis and email surveillance.
Using Big Data in Finance by Jonah EnglerJonah Engler
How can you utilize Big Data in the Financial Industry? To leverage Big Data - entrepreneur and finance expert Jonah Engler, has put together this presentation to help the slideshare community understand the value - and HOW TO - use big data in the financial campaigns.
Jonah Engler is a financial expert and stock broker based in NYC. Leveraging his experience in finance, Engler has gone on to have success in the franchise, coffee, startup industries and more. To connect with Jonah - checkout his profile on LinkedIn: https://www.linkedin.com/in/jonahengler
Real-time, high-frequency trading (HFT) is placing increasing pressure on regulatory compliance teams to keep up with and monitor the industry's widening pools of structured and unstructured data. Emerging technologies can help capital markets firms use big-data analytics to collect, classify and analyze high volumes of data to formulate strategies for better surveillance, compliance and spot abuse.
P.A.I.D Strategies is a consulting firm that provides strategic analysis and market intelligence on payments, authentication, identity, and security technologies. They have over 15 years of experience analyzing digital solutions, smart cards, mobile devices, IoT, and related technologies. Their services include viewpoints, market reports, strategic reports, custom research, and retainer packages to help clients understand these complex markets and make informed decisions.
This document discusses how data analytics and financial technology (fintech) companies are revolutionizing the banking industry. It notes that non-traditional fintech firms have an advantage over traditional banks by exploiting two inherent risks in banking - credit risk and operational risk. Data-driven lending allows fintech companies to more accurately assess credit risk. The document also states that traditional banks will need to respond by adopting new technologies and business models to compete in this changing landscape.
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
In this session we will discuss the business case for a proactive, real-time fraud prevention strategy which enables you to maximize revenue opportunities whilst minimizing fraud. During the session we will create a fraud management check list which combines People, Processes and Technology, underpinned by data, analysis and tailored rules.
This document discusses how financial services companies are using data analytics. It defines data analytics as using new applications and processes derived from independent service providers and banks/insurers to automate insurance, trading, and risk management. Some key points made include:
- Financial services companies are using data science techniques like customer profiling and segmentation to increase cross-selling success rates and improve fraud detection.
- Case studies show how banks like Capital One and Citi are using customer transaction data to develop new products and identify business patterns.
- Data analytics can help financial institutions optimize processes, improve customer service, and inform product and pricing decisions.
- Risks of data analytics include loss of customer focus, diminished margins from new
This document discusses the challenges insurance providers face in making decisions using large amounts of data and traditional analysis methods. It introduces Atidot's solution which is a data platform and suite of apps that can automatically clean, analyze, and integrate internal and external data to power predictive models and business apps. This allows insurers to improve customer insights, risk assessment, marketing, and business results. A proposed pilot program is described that would apply Atidot's platform and tools to a sample of policies to optimize distribution channels, detect lapse reasons, and generate new leads.
Patents are a good information resource for obtaining IoT (Internet of Things) technology development status. IOT big data analytics is becoming important to process unimaginably large amounts of information and data that are obtained by the sensor embedded interconnected IoT devices. The typical IoT big data analytics is Hadoop, an open-source software framework that supports data-intensive distributed applications, and the running of applications on large clusters of commodity hardware. Hadoop, that is based on the architectural framework MapReduce, collects both structured data and unstructured data, processes the collected data set in a distributed network cluster in parallel, and extracts valuable information from the processed data set within a short time. Followings illustrate some examples of patents that provide current status of the IoT big data analytics technology development.
The document discusses smart plant supervision using Internet of Things (IoT) technology. It describes how IoT can be used to remotely monitor industrial equipment and processes using sensors, aggregate and analyze the sensor data using predictive analytics, and take actions like scheduling maintenance to prevent failures and optimize operations. Implementing such a smart plant supervision system using IoT could reduce costs through minimized downtime and waste while improving productivity, safety, and other benefits for manufacturing and other industries. The document provides examples of potential use cases and components of an IoT framework for smart plant supervision.
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 451 Group is a technology analyst and data company focused on providing critical insight into emerging technology markets to support strategic decision-making. Founded in 2000 and headquartered in New York, it has over 165 staff including 30+ analysts covering areas like infrastructure, applications, security, and more. Clients include technology vendors, investors, service providers, and enterprises who rely on 451 Group's research, data, advisory services, and events to inform decisions.
With this presentation I wanted to highlight a number of trends in the healthcare sector and some major challenges born out of the current healthcare delivery model. I’d then like to propose an alternative model in which the combination of distributed patient and diagnostic data collection, cloud technology and AI would support better healthcare tailored to the individual at lost cost to payers. I would conclude by highlighting opportunities for AI-led innovation.
Healthcare Information Technology (HIT) Market Competitive Research And Preci...subishsam
The research firm Contrive Datum Insights has just recently added to its database a report with the heading global Healthcare Information Technology (HIT) Market.Both primary and secondary research methodologies have been utilised in order to conduct an analysis of the worldwide Healthcare Information Technology (HIT) Market. In order to provide a comprehensive comprehension of the topic at hand, it has been summed up using appropriate and accurate market insights. According to Contrive Datum Insights, this worldwide comprehensive report is broken up into several categories in order to present the data in a way that is understandable, succinct, and presented in a professional manner.
Competitive intelligence involves systematically gathering and analyzing external information about competitors to support strategic decision making and protect an organization. It helps evaluate performance, identify competitor strengths and weaknesses, and support innovation. Unlike business intelligence which focuses internally, competitive intelligence requires researching competitors directly through public sources and third parties to gain a comprehensive understanding of the competitive landscape. Formal competitive intelligence programs follow a cycle of defining intelligence needs, collecting relevant information, analyzing it, and sharing findings across an organization.
Competitive Intelligence is critical to any company striving to make their product deliver the value customers expect. As a Product Manager, you want to keep a holistic view of both your client’s opinion, desire and thoughts on new development, combined with a perspective on what your competition will be up to next. After all, the competition has smart Product Managers who may have discovered an important service or product angle those customers are going to want.
With social media in a mature phase, can’t you just rely on Twitter Feeds, news aggregators, and information from the odd LinkedIn Group? Is that enough? What else should you be doing to stay ahead of you competitors?
Join our guest speaker, Zena Applebaum, of Bennet Jones LLP, for a practical discussion about where to look for competitive intelligence (ethically), how to collect it, the questions you should be asking, who to ask, and how best to use the intel once you have it
Our company provides competitive landscape patents in California, North Carolina, New York, USA, Canada, and India. These services can help businesses gain insights into their industry, customers, and potential strategies to gain an edge over their rivals.Our company provides competitive landscape patents in California, North Carolina, New York, USA, Canada, and India. These services can help businesses gain insights into their industry, customers, and potential strategies to gain an edge over their rivals.
Biometric Authentication & Identification Market Competitive Research And Pre...subishsam
The research firm Contrive Datum Insights has just recently added to its database a report with the heading global Biometric Authentication & Identification Market .Both primary and secondary research methodologies have been utilised in order to conduct an analysis of the worldwide Biometric Authentication & Identification Market . In order to provide a comprehensive comprehension of the topic at hand, it has been summed up using appropriate and accurate market insights. According to Contrive Datum Insights, this worldwide comprehensive report is broken up into several categories in order to present the data in a way that is understandable, succinct, and presented in a professional
The Indian pharmaceutical industry is growing and is projected to be among the top 10 global markets by 2020. It is considered a stable industry with impressive growth trends. New small and medium enterprises will play a substantial role in the industry's growth. Graduates have many conventional career options in areas like sales, manufacturing, quality control, medical affairs, and more. There are also less conventional options in fields like clinical research organizations, medical writing, academics, and emerging areas like digital marketing and IT. With additional short-term training, opportunities increase in regulatory affairs, intellectual property, and pharmacovigilance. Consultancy firms also provide opportunities for pharmacy graduates.
Marketing Intelligence System (MIS) consists of people, equipment, and procedures to gather, analyze, and distribute market information to decision makers. The research process involves defining objectives, designing research, identifying data sources, collecting data, analyzing results, and reporting findings. MIS provides customer intelligence about preferences and competition intelligence about competitors' strategies. It aims to improve customer satisfaction, marketing strategy, understand strengths/weaknesses, and gain competitive advantages. Sources of intelligence include employees, suppliers, competitors, government data, publications, and syndicated reports. Data is analyzed through competitor profiling and data mining organizes large datasets in warehouses for analysis.
Big Data Security Market PPT: Growth, Outlook, Demand, Keyplayer Analysis an...IMARC Group
According to the latest report by IMARC Group,the global big data security market reached a value of US$ 20.6 Billion in 2021.Big data security is adopted by businesses in order to protect the data from cyber thefts and malicious activities. It usually includes several tools and measures that are undertaken to safeguard numerous analytical processes. Some of the commonly used security methods include authorization, authentication, and centralized administration that helps to prevent unauthorized access to business data, storage logs and transactions.
Competitive intelligence involves collecting, analyzing, and disseminating accurate and timely information about competitors, markets, and the business environment. It aims to provide strategic insights and actionable intelligence to decision-makers. The process involves establishing intelligence needs, collecting data from primary and secondary sources, analyzing the data, and communicating findings. The goal is to help organizations gain competitive advantages and boost profitability through informed decision-making.
Intrusion detection and prevention systems market is expected to grow $7.1 bi...DheerajPawar4
[175 Pages Report] Intrusion detection and prevention systems market categorizes the global market by solutions, services, type, deployment type, organization size, vertical & region.
Cruciate Ligament Diagnosis And Treatment MarketshubhamRandive11
Contrive Datum Insights (CDI) is a global market intelligence company that provides business information reports and consulting services. CDI analyzes information from various sources to give clients forward-looking insights into different sectors such as chemicals, pharmaceuticals, automotive, and technology. CDI offers market intelligence assessments, competitive analysis, pricing data, and distribution channel evaluations to help clients make strategic decisions. Some major clients include Fortune 500 companies from Europe, Asia, and the Americas. CDI aims to be a one-stop solution for all customer research needs through dedicated teams and flexible partnerships.
I presented this at ICT Spring Europe 2015 in Luxembourg. The presentation highlights the way in which big data investments are not always delivering on their promise and why brands should consider taking a 'human-centred' approach to big data analytics.
CB Insights: Scout Sourcing as a ServiceErichSpencer2
Scout is an on-demand service that sources emerging technology companies in your areas of focus.
You spend your time on strategy, relationship-building and execution. Scout takes care of the sourcing.
Acquiring capacity for understanding key business activities in the environments and developing appropriate action points for business and organisational excellence.
Aligning your business to the data driven economy, how data is the new oil, importance of algorithms in a data driven world and their benefits for different industries, and new use cases of digital data.
David Farber (http://bit.ly/2DFnvJ1), Head of the FDA and Reimbursement Practice at King & Spalding in Washington DC, leads a workshop for medtech and digital health companies seeking US reimbursement. He brings 30+ years of experience in US Healthcare reimbursement, lobbying and FDA regulatory issues. In addition to ongoing reimbursement challenges, 2020 will see a fundamental transformation in US medical reimbursement (http://bit.ly/2YWlYbt), particularly in digital health. That includes 394 Current Procedural Terminology (CPT) code changes, 248 new codes, 71 deletions and 75 revisions
This document discusses competitive intelligence and provides an overview of the topic. It covers the following key points:
1. The history and evolution of competitive intelligence over the past 30 years due to changes in technology and difficulties justifying large CI departments.
2. An overview of competitive intelligence, defining it as more than just information about competitors and emphasizing its role in developing winning strategies through leveraging knowledge assets.
3. The competitive intelligence process involving planning, collection from internal and external sources, analysis using techniques like SWOT and modeling, and dissemination of insights.
4. Categories of competitive intelligence like market intelligence, competitor intelligence, and customer intelligence.
Similar to Competitive Market Intelligence in the time of Big Data & AI ... (20)
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Myself Gokila digital marketing consultant located in Coimbatore other various types of digital marketing services such as SEM
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Digital Marketing is a latest method of Marketing techniques widely used across the Globe. Digital Marketing is an online marketing technique and methods used for all products and services through Search Engine and Social media advertisements. Previously the marketing techniques were used without using the internet via direct and indirect marketing strategies such as advertising through Telemarketing,Newspapers,Televisions,Posters etc.
List of Services offered in Digital Marketing |Techvolt Software :
Techvolt Software offers best Digital Marketing services for promoting your products and services through online platform on the below methods of Digital marketing
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5. Campaigns
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With Regards
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Coimbatore
In this dynamic session titled "Future-Proof Like Beyoncé: Syncing Email and Social Media for Iconic Brand Longevity," Carlos Gil, U.S. Brand Evangelist for GetResponse, unveils how to safeguard and elevate your digital marketing strategy. Explore how integrating email marketing with social media can not only increase your brand's reach but also secure its future in the ever-changing digital landscape. Carlos will share invaluable insights on developing a robust email list, leveraging data integration for targeted campaigns, and implementing AI tools to enhance cross-platform engagement. Attendees will learn how to maintain a consistent brand voice across all channels and adapt to platform changes proactively. This session is essential for marketers aiming to diversify their online presence and minimize dependence on any single platform. Join Carlos to discover how to turn social media followers into loyal email subscribers and ultimately, drive sustainable growth and revenue for your brand. By harnessing the best practices and innovative strategies discussed, you will be equipped to navigate the challenges of the digital age, ensuring your brand remains relevant and resonant with your audience, no matter the platform. Don’t miss this opportunity to transform your approach and achieve iconic brand longevity akin to Beyoncé's enduring influence in the entertainment industry.
Key Takeaways:
Integration of Email and Social Media: Understanding how to seamlessly integrate email marketing with social media efforts to expand reach and reinforce brand presence. Building a Robust Email List: Strategies for developing a strong email list that provides a direct line of communication to your audience, independent of social media algorithms. Data Integration for Targeted Campaigns: Leveraging combined data from email and social media to create personalized, targeted marketing campaigns that resonate with the audience. Utilization of AI Tools: Implementing AI and automation tools to enhance efficiency and effectiveness across marketing channels. Consistent Brand Voice Across Platforms: Maintaining a unified brand voice and message across all digital platforms to strengthen brand identity and user trust. Proactive Adaptation to Platform Changes: Staying ahead of social media platform changes and algorithm updates to keep engagement high and interactions meaningful. Conversion of Social Followers to Email Subscribers: Techniques to encourage social media followers to subscribe to email, ensuring a direct and consistent connection. Sustainable Growth and Minimized Platform Dependence: Strategies to diversify digital presence and reduce reliance on any single social media platform, thereby mitigating risks associated with platform volatility.
Mastering Dynamic Web Designing A Comprehensive Guide.pdfIbrandizer
Dynamic Web Designing involves creating interactive and adaptable web pages that respond to user input and change dynamically, enhancing user experience with real-time data, animations, and personalized content tailored to individual preferences.
Trust Element Assessment: How Your Online Presence Affects Outbound Lead Gene...Martal Group
Learn how your business's online presence affects outbound lead generation and what you can do to improve it with a complimentary 13-Point Trust Element Assessment.
Mastering Local SEO for Service Businesses in the AI Era"" is tailored specifically for local service providers like plumbers, dentists, and others seeking to dominate their local search landscape. This session delves into leveraging AI advancements to enhance your online visibility and search rankings through the Content Factory model, designed for creating high-impact, SEO-driven content. Discover the Dollar-a-Day advertising strategy, a cost-effective approach to boost your local SEO efforts and attract more customers with minimal investment. Gain practical insights on optimizing your online presence to meet the specific needs of local service seekers, ensuring your business not only appears but stands out in local searches. This concise, action-oriented workshop is your roadmap to navigating the complexities of digital marketing in the AI age, driving more leads, conversions, and ultimately, success for your local service business.
Key Takeaways:
Embrace AI for Local SEO: Learn to harness the power of AI technologies to optimize your website and content for local search. Understand the pivotal role AI plays in analyzing search trends and consumer behavior, enabling you to tailor your SEO strategies to meet the specific demands of your target local audience. Leverage the Content Factory Model: Discover the step-by-step process of creating SEO-optimized content at scale. This approach ensures a steady stream of high-quality content that engages local customers and boosts your search rankings. Get an action guide on implementing this model, complete with templates and scheduling strategies to maintain a consistent online presence. Maximize ROI with Dollar-a-Day Advertising: Dive into the cost-effective Dollar-a-Day advertising strategy that amplifies your visibility in local searches without breaking the bank. Learn how to strategically allocate your budget across platforms to target potential local customers effectively. The session includes an action guide on setting up, monitoring, and optimizing your ad campaigns to ensure maximum impact with minimal investment.
The digital marketing industry is changing faster than ever and those who don’t adapt with the times are losing market share. Where should marketers be focusing their efforts? What strategies are the experts seeing get the best results? Get up-to-speed with the latest industry insights, trends and predictions for the future in this panel discussion with some leading digital marketing experts.
Unlock the secrets to creating a standout trade show booth with our comprehensive guide from Blue Atlas Marketing! This presentation is packed with essential tips and innovative strategies to ensure your booth attracts attention, engages visitors, and drives business success. Whether you're a seasoned exhibitor or a first-timer, these expert insights will help you maximize your impact and make a memorable impression in a crowded exhibition hall. Learn how to:
Design an eye-catching and inviting booth
Incorporate interactive elements that engage visitors
Use effective branding and visuals to reinforce your message
Plan your booth layout for maximum traffic flow
Implement technology to enhance the visitor experience
Create memorable experiences that leave a lasting impression
Transform your trade show presence with these proven tactics and ensure your booth stands out from the competition. Download the PDF now and start planning your next successful exhibit!
As 2023 proved, the next few years may be shaped by market volatility and artificial intelligence services such as OpenAI's ChatGPT and Perplexity.ai. Your brand will increasingly compete for attention with Google, Apple, OpenAI, and Amazon, and customers will expect a hyper-relevant and individualized experience from every business at any moment. New state-legislated data privacy laws and several FTC rules may challenge marketers to deliver contextually relevant customer experiences, much less reach unknown prospective buyers. Are you ready?Let's discuss the critical need for data governance and applied AI for your business rather than relying on public AI models. As AI permeates society and all industries, learn how to be future-ready, compliant, and confidentlyscaling growth.
Key Takeaways:
Primary Learning Objective
1: Grasp when artificial general intelligence (""AGI"") will arrive, and how your brand can navigate the consequences. Primary Learning Objective
2: Gain an accurate analysis of the continuously developing customer journey and business intelligence. Primary Learning Objective
3: Grow revenue at lower costs with more efficient marketing and business operations.
Google Ads Vs Social Media Ads-A comparative analysisakashrawdot
Explore the differences, advantages, and strategies of using Google Ads vs Social Media Ads for online advertising. This presentation will provide insights into how each platform operates, their unique features, and how they can be leveraged to achieve marketing goals.
Lily Ray - Optimize the Forest, Not the Trees: Move Beyond SEO Checklist - Mo...Amsive
Lily Ray, Vice President of SEO Strategy & Research at Amsive, explores optimizing strategies for sustainable growth and explores the impact of AI on the SEO landscape.
Did you know that while 50% of content on the internet is in English, English only makes up 26% of the world’s spoken language? And yet 87% of customers won’t buy from an English only website.
Uncover the immense potential of communicating with customers in their own language and learn how translation holds the key to unlocking global growth. Join Smartling CEO, Bryan Murphy, as he reveals how translation software can streamline the translation process and seamlessly integrate into your martech stack for optimal efficiency. And that's not all – he’ll also share some inspiring success stories and practical tips that will turbocharge your multilingual marketing efforts!
Key takeaways:
1. The growth potential of reaching customers in their native language
2. Tips to streamline translation with software and integrations to your tech stack
3. Success stories from companies that have increased lead generation, doubled revenue, and more with translation
Efficient Website Management for Digital Marketing ProsLauren Polinsky
Learn how to optimize website projects, leverage SEO tactics effectively, and implement product-led marketing approaches for enhanced digital presence and ROI.
This session is your key to unlocking the secrets of successful digital marketing campaigns and maximizing your business's online potential.
Actionable tactics you can apply after this session:
- Streamlined Website Management: Discover techniques to streamline website development, manage day-to-day operations efficiently, and ensure smooth project execution.
- Effective SEO Practices: Gain valuable insights into optimizing your website for search engines, improving visibility, and driving organic traffic to your digital assets.
- Leverage Product-Led Marketing: Explore strategies for incorporating product-led marketing principles into your digital marketing efforts, enhancing user engagement and driving conversions.
Don't miss out on this opportunity to elevate your digital marketing game and achieve tangible results!
Can you kickstart content marketing when you have a small team or even a team of one? Why yes, you can! Dennis Shiao, founder of marketing agency Attention Retention will detail how to draw insights from subject matter experts (SMEs) and turn them into articles, bylines, blog posts, social media posts and more. He’ll also share tips on content licensing and how to establish a webinar program. Attend this session to learn how to make an impact with content marketing even when you have a small team and limited resources.
Key Takeaways:
- You don't need a large team to start a content marketing program
- A webinar program yields a "one-to-many" approach to content creation
- Use partnerships and licensing to create new content assets
Yes, It's Your Fault Book Launch WebinarDemandbase
From Blame to Gain: Achieving Sales and Marketing Alignment to Drive B2B Growth.
Tired of the perpetual tug-of-war between your sales and marketing teams? Come hear Demandbase Chief Marketing Officer, Kelly Hopping and Chief Sales Officer, John Eitel discuss key insights from their new book, “Yes, It’s Your Fault! From Blame to Gain: Achieving Sales and Marketing Alignment to Drive B2B Growth.”
They’ll share their no-nonsense approach to bridging the sales and marketing divide to drive true collaboration — once and for all.
In this webinar, you’ll discover:
The underlying dynamics fueling sales and marketing misalignment
How to implement practical solutions without disrupting day-to-day operations
How to cultivate a culture of collaboration and unity for long-term success
How to align on metrics that matter
Why it’s essential to break down technology and data silos
How ABM can be a powerful unifier
Customer Experience is not only for B2C and big box brands. Embark on a transformative journey into the realm of B2B customer experience with our masterclass. In this dynamic session, we'll delve into the intricacies of designing and implementing seamless customer journeys that leave a lasting impression. Explore proven strategies and best practices tailored specifically for the B2B landscape, learning how to navigate complex decision-making processes and cultivate meaningful relationships with clients. From initial engagement to post-sale support, discover how to optimize every touchpoint to deliver exceptional experiences that drive loyalty and revenue growth. Join us and unlock the keys to unparalleled success in the B2B arena.
Key Takeaways:
1. Identify your customer journey and growth areas
2. Build a three-step customer experience strategy
3. Put your CX data to use and drive action in your organization
We’ve entered a new era in digital. Search and AI are colliding, in more ways than one. And they all have major implications for marketers.
• SEOs now use AI to optimize content.
• Google now uses AI to generate answers.
• Users are skipping search completely. They can now use AI to get answers. So AI has changed everything …or maybe not. Our audience hasn’t changed. Their information needs haven’t changed. Their perception of quality hasn’t changed. In reality, the most important things haven’t changed at all. In this session, you’ll learn the impact of AI. And you’ll learn ways that AI can make us better at the classic challenges: getting discovered, connecting through content and staying top of mind with the people who matter most. We’ll use timely tools to rebuild timeless foundations. We’ll do better basics, but with the most advanced techniques. Andy will share a set of frameworks, prompts and techniques for better digital basics, using the latest tools of today. And in the end, Andy will consider - in a brief glimpse - what might be the biggest change of all, and how to expand your footprint in the new digital landscape.
Key Takeaways:
How to use AI to optimize your content
How to find topics that algorithms love
How to get AI to mention your content and your brand
What’s “In” and “Out” for ABM in 2024: Plays That Help You Grow and Ones to L...Demandbase
Delve into essential ABM ‘plays' that propel success while identifying and leaving behind tactics that no longer yield results. Led by ABM Experts, Jon Barcellos, Head of Solutions at Postal and Tom Keefe, Principal GTM Expert at Demandbase.
In the face of the news of Google beginning to remove cookies from Chrome (30m users at the time of writing), there’s no longer time for marketers to throw their hands up and say “I didn’t know” or “They won’t go through with it”. Reality check - it has already begun - the time to take action is now. The good news is that there are solutions available and ready for adoption… but for many the race to catch up to the modern internet risks being a messy, confusing scramble to get back to "normal"
No Cookies, No Problem - Steve Krull, Be Found Online
Competitive Market Intelligence in the time of Big Data & AI ...
1. CMI in the times of Big
Data & AI ….
Aniruddha Mehta
2. Agenda
• CI – “The Culture”
• Breakdown “ Competitive Intelligence”
• Competitive Intelligence in Pharma
• Source of CI
• What can we bring in from Other Industries
3. CI – “The Culture”
• Corporate or
Industrial espionage
• Competitor analysis or
"knowing your
enemy.“
• Your competitors and
the competitive
landscape
• How new technologies
can quickly render
invalid every
assumption
4. Breaking down
“CI”
Every company is or will be
a data company and data is
a guaranteed disruptor
“Its a white cute dog or its a
cute white dog”
Measure sentiment into
speech is a very important
too when a doctor speaks
about your product vs your
competitors product
5. CI in Pharma
Sprint (Tactical)
• Short-Term
• Capturing market
share or increasing
revenues
Marathon (Strategic)
• Longer-term issues
such as key risks and
opportunities facing
the enterprise
6. Sources
• New Systems
• Reporting Mechanisms
• Widely disseminated
information
• Stakeholders, Key
distributors and
suppliers, as well as
customers and
competitors
• Technology
• On Ground
8. The challenge of incrementalism in
a disruptive world is the classical
too little, too late. Change enough
before change changes you to
irrelevance!
Editor's Notes
People say that there are 3 most difficult things to do in life,
Climb a wall that’s leaning towards you
To kiss a girl who is leaning away from
To present to an audience in the opening session of such an event
I will make sure that what I present and convey is not just the content but also the intent.