Given that making the right decisions consistently separates the leaders from the rest of the pack, the real question for any business leader is how can information be leveraged to make the right business decisions and create differentiation for the organization. Read More: http://www.infosys.com/building-tomorrows-enterprise/digital-consumers/Pages/index.aspx
MIT report: How data analytics and machine learning reap competitive advantage.Nicolas Valenzuela
Â
How Analytics and Machine Learning Help Organizations Reap Competitive Advantage
Produced MIT Technology Review, in Partnership with Google Analytics 360 Suite
Data can be your key strategic asset for long-term growth. Just as the "quantified self" builds awareness of progress toward health, your comprehensive data strategy can help you lead your industry.
Companies from across sectors are experiencing exponential growth in data as social interactions, rich media and a variety of devices generate new content. A tidal wave... of digital data is getting created through emails, instant messaging, survey videos, images, RFID tags, web text, blogs, geo-location devices, collaboration platforms like Twitter and Facebook, and so many other sources.
MTBiz is for you if you are looking for contemporary information on business, economy and especially on banking industry of Bangladesh. You would also find periodical information on Global Economy and Commodity Markets.
Thinking Small: Bringing the Power of Big Data to the MassesFlutterbyBarb
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Thinking Small: Bringing the Power of Big Data to the Masses via Adobe with the results of improved access to insights, better user experiences, and greater productivity in the enterprise.
MIT report: How data analytics and machine learning reap competitive advantage.Nicolas Valenzuela
Â
How Analytics and Machine Learning Help Organizations Reap Competitive Advantage
Produced MIT Technology Review, in Partnership with Google Analytics 360 Suite
Data can be your key strategic asset for long-term growth. Just as the "quantified self" builds awareness of progress toward health, your comprehensive data strategy can help you lead your industry.
Companies from across sectors are experiencing exponential growth in data as social interactions, rich media and a variety of devices generate new content. A tidal wave... of digital data is getting created through emails, instant messaging, survey videos, images, RFID tags, web text, blogs, geo-location devices, collaboration platforms like Twitter and Facebook, and so many other sources.
MTBiz is for you if you are looking for contemporary information on business, economy and especially on banking industry of Bangladesh. You would also find periodical information on Global Economy and Commodity Markets.
Thinking Small: Bringing the Power of Big Data to the MassesFlutterbyBarb
Â
Thinking Small: Bringing the Power of Big Data to the Masses via Adobe with the results of improved access to insights, better user experiences, and greater productivity in the enterprise.
Big Data and Marketing: Data Activation and ManagementConor Duke
Â
Data Management and Activation
Crevan OâMalley â Evangelist, Oracle Marketing Cloud
Modern Marketers rely on data-driven marketing solutions to deliver more personalised customer experiences across every channelâhelping attract and retain the ideal customers who become brand advocates. Discover how to aggregate, enrich, and analyze all your customer data on a single data management platform.
Why Marketers need to know about Data
Tara Grehan - Managing Director at Datalytics
Why Marketers need to know about Data
Tara Grehan - Managing Director at Datalytics
Despite starting out as a qualitative researcher, roles and projects frequently brought me back to data. And so I decided to tackle it and have developed some interesting insights into data management along the way.
Having worked in Marketing both agency and client side for fifteen years now in a variety of roles from Market Research and Customer Insights to Change Management, being comfortable with data has made all the difference and this evening Iâll tell you why.
Using Big Data to Grow on a Budget
Michael Waldron - Marketing and Sales Manager at AYLIEN
AYLIEN is an Artificial Intelligence content analysis startup and Mike will be speaking on their growth journey over the past 6 months. With a focus on how they have delivered growth by optimising their budget, focusing on Data Points that matter and what to points to obsess on through the marketing funnel.
Welsh Consultants publishes- Big data has affected the way that organisations do business in every industry across the world, and real estate is no exception. Understanding the term âbig dataâ will help give context to how it helps in real estate analysis. Gartnerâs explanation, circa 2001, is still considered the go-to definition: âBig data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insights, superior decision-making, and effective process automation.â This is often referred to as the âthree Vsâ of big data. Essentially, big data is processing of large amounts of data, be it historic or real-time, and to which algorithms are applied to discover trends in user behaviour, predict future outcomes, or gain other business insights. The data sets can be structured or unstructured, and can be analysed to make precise and accurate business decisions. This paper reflects upon this in detail.
Automated Trading Summit 2012, Amsterdam
Big Data impacts the way we think about managing, processing and analyzing marketing data. It is the foundational element for building Digital Marketing solutions such as Audience Optimization, Channel Optimization, Content Optimization and Yield Optimization.
Recent research and studies provides some fascinating insights into how
(a) CMO's view Big Data as their biggest areas of "under-preparedness",
(b) Organizations view Advanced Analytics as a competitive advantage and
(c) Digital Marketers view Big Data as an enabling platform for all their future initiatives
Unlocking the Value of Big Data (Innovation Summit 2014)Dun & Bradstreet
Â
Big Data is central to the strategic thinking of todayâs innovators and business executives as companies are scrambling to figure out the secret to transforming Big Data to Big Insight and that Insight into Action. As many companies struggle with the emerging technologies and nascent capabilities to discover and curate massive quantities of highly dynamic data, new problems are emerging in the form of how to ask meaningful questions that leverage the âVâsâ of large amounts of data (e.g. volume, variety, velocity, veracity). In the Business-to-Business space, these challenges are creating both significant opportunity and ominous new types of risk. This presentation discusses how companies are reacting to these changes and provide valuable insight into new ways of thinking in a world with overwhelming quantities of data.
Big Data: The Road to Know More About Your BusinessOAUGNJ
Â
Does your organization have a Big Data strategy or have you started your Big Data journey? Surveys are showing that Big Data has not been implemented in the majority of companies. The difficulty is that the amount of data the world is producing outstrips most companiesâ ability to use it. This session will review the need for a big data strategy, how to get started and the critical success factors to ensure you are on the Big Data Road to Success. Companies are creating huge business value by capturing more data (particularly unstructured data) from social media, sensors and mobile devices. Learn how these companies got started and what they are doing to transform their business.
This white paper: Analyzes the big data revolution and the potential it offers organizations. Explores the critical talent needs and emerging talent gaps related to big data. Offers examples of organizations that are meeting this challenge head on. Recommends four steps HR and talent management professionals can take to bridge the talent gap.
Six Mistakes Companies Are Making Today And How You Can Avoid ThemFindWhitePapers
Â
"Look for additional opportunities to use business intelligence to uncover value and drive
improvements. Consider advanced planning tools that can help close the gap between
strategy and execution. Expand the use of sophisticated what-if analyses to model the
operational and financial impact of multiple scenarios on revenue, costs, and cash flow."
Big Data and Marketing: Data Activation and ManagementConor Duke
Â
Data Management and Activation
Crevan OâMalley â Evangelist, Oracle Marketing Cloud
Modern Marketers rely on data-driven marketing solutions to deliver more personalised customer experiences across every channelâhelping attract and retain the ideal customers who become brand advocates. Discover how to aggregate, enrich, and analyze all your customer data on a single data management platform.
Why Marketers need to know about Data
Tara Grehan - Managing Director at Datalytics
Why Marketers need to know about Data
Tara Grehan - Managing Director at Datalytics
Despite starting out as a qualitative researcher, roles and projects frequently brought me back to data. And so I decided to tackle it and have developed some interesting insights into data management along the way.
Having worked in Marketing both agency and client side for fifteen years now in a variety of roles from Market Research and Customer Insights to Change Management, being comfortable with data has made all the difference and this evening Iâll tell you why.
Using Big Data to Grow on a Budget
Michael Waldron - Marketing and Sales Manager at AYLIEN
AYLIEN is an Artificial Intelligence content analysis startup and Mike will be speaking on their growth journey over the past 6 months. With a focus on how they have delivered growth by optimising their budget, focusing on Data Points that matter and what to points to obsess on through the marketing funnel.
Welsh Consultants publishes- Big data has affected the way that organisations do business in every industry across the world, and real estate is no exception. Understanding the term âbig dataâ will help give context to how it helps in real estate analysis. Gartnerâs explanation, circa 2001, is still considered the go-to definition: âBig data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insights, superior decision-making, and effective process automation.â This is often referred to as the âthree Vsâ of big data. Essentially, big data is processing of large amounts of data, be it historic or real-time, and to which algorithms are applied to discover trends in user behaviour, predict future outcomes, or gain other business insights. The data sets can be structured or unstructured, and can be analysed to make precise and accurate business decisions. This paper reflects upon this in detail.
Automated Trading Summit 2012, Amsterdam
Big Data impacts the way we think about managing, processing and analyzing marketing data. It is the foundational element for building Digital Marketing solutions such as Audience Optimization, Channel Optimization, Content Optimization and Yield Optimization.
Recent research and studies provides some fascinating insights into how
(a) CMO's view Big Data as their biggest areas of "under-preparedness",
(b) Organizations view Advanced Analytics as a competitive advantage and
(c) Digital Marketers view Big Data as an enabling platform for all their future initiatives
Unlocking the Value of Big Data (Innovation Summit 2014)Dun & Bradstreet
Â
Big Data is central to the strategic thinking of todayâs innovators and business executives as companies are scrambling to figure out the secret to transforming Big Data to Big Insight and that Insight into Action. As many companies struggle with the emerging technologies and nascent capabilities to discover and curate massive quantities of highly dynamic data, new problems are emerging in the form of how to ask meaningful questions that leverage the âVâsâ of large amounts of data (e.g. volume, variety, velocity, veracity). In the Business-to-Business space, these challenges are creating both significant opportunity and ominous new types of risk. This presentation discusses how companies are reacting to these changes and provide valuable insight into new ways of thinking in a world with overwhelming quantities of data.
Big Data: The Road to Know More About Your BusinessOAUGNJ
Â
Does your organization have a Big Data strategy or have you started your Big Data journey? Surveys are showing that Big Data has not been implemented in the majority of companies. The difficulty is that the amount of data the world is producing outstrips most companiesâ ability to use it. This session will review the need for a big data strategy, how to get started and the critical success factors to ensure you are on the Big Data Road to Success. Companies are creating huge business value by capturing more data (particularly unstructured data) from social media, sensors and mobile devices. Learn how these companies got started and what they are doing to transform their business.
This white paper: Analyzes the big data revolution and the potential it offers organizations. Explores the critical talent needs and emerging talent gaps related to big data. Offers examples of organizations that are meeting this challenge head on. Recommends four steps HR and talent management professionals can take to bridge the talent gap.
Six Mistakes Companies Are Making Today And How You Can Avoid ThemFindWhitePapers
Â
"Look for additional opportunities to use business intelligence to uncover value and drive
improvements. Consider advanced planning tools that can help close the gap between
strategy and execution. Expand the use of sophisticated what-if analyses to model the
operational and financial impact of multiple scenarios on revenue, costs, and cash flow."
Solving Stagnated Business Growth with Data MiningAndrew Leo
Â
In today's data-driven world, leveraging insights from vast datasets can propel your business to new heights. From enhancing customer experiences to optimizing decision-making, data mining offers endless opportunities for growth and innovation.
Key benefits of data mining include:
Personalized customer experiences
Improved decision-making
New business models
Enhanced efficiency
Stronger cybersecurity
Achieving social goals
Discover how data mining can transform your sales strategies, marketing campaigns, healthcare services, customer service, HR management, fraud detection, and manufacturing processes.
Curious to learn more? Check out our comprehensive guide on how data mining can help solve stagnated business growth.
Ready to harness the power of data mining for your business? Let's connect and explore the possibilities.
This whitepaper from IBM shows how your organisation can implement a Big Data Analytics solution effectively and leverage insights that can transform your business.
Business Intelligence for Consumer Products: Actionable Insights for Business...FindWhitePapers
Â
While historically consumer packaged goods (CPG) organizations have made significant investments in data collection and integration, much of the data stored in their IT infrastructures has not been analyzed or deployed to further the firms business performance.
Organizational change is closely tied to digitization. Economists have not appreciated how firms are employing AI besides employing it to deploy robots. In fact, many firms have innovated by creating intelligent analytic systems that change their ability to create new products and manage processes and production.
In these firms, AI helps firms understand complex operations, connect with customers on a personalized level, and obtain a far more sophisticated analysis of processes and services. The result is that AI and ML are creating many new economic advantages at the firm level and for customers.artifici
IAB Winterberry Group Big Data Marketing Jan 2012Brian Crotty
Â
This white paperâproduced in conjunction with the Interactive Advertising Bureauâ
will explore four data-driven use cases (audience optimization, channel optimization,
advertising yield management and targeted media buying) that collectively represent
the foundation of how many are now seeking to leverage the potential of âbigâ
marketing data. In addition to that analysis, it will demonstrate that capitalizing on
this opportunity will require:
ďˇ Rules-driven integration of disparate data sets: The collection, analysis and
segmentation of digital data demands the aggregation and anonymization of
virtually all data, challenging marketersâ fundamental ability to draw distinct
insights from consumersâ cross-channel interactions
ďˇ Improved operating infrastructures: Though substantial process and data
structure challenges also exist, a substantial barrier now inhibiting wider
marketing data optimization resides within the marketing organizationâ
characterized by rigid âsilosâ and the paucity of data-savvy marketing
operations, IT and sales talent
ďˇ A strong network of data-centric technology and service partners: The fastest
and most efficient data aggregation, analysis and throughput solutions require
a strong ecosystem of partners who understand and can integrate seamlessly
with core data assets and supporting technologies
ďˇ Marketing data governance: While organizations have long employed policy
experts to advise on the regulatory ramifications of data utilization, many are
coming to see marketing data governanceâdefining the ârules of the roadâ for
assigning distinct data sources to different promotional tasksâas equally
important
Is Your Company Braced Up for handling Big Datahimanshu13jun
Â
Has your company recently launched new product or company is concerned with the poor sales figure or want to reach new prospects and also reduce the existing customers' attrition, then this thought evoking short hand guide is available for you to explore.
La base para optimizar y potenciar la toma de decisiones en cualqueir empresa es la informaciĂłn. Pero no la informaciĂłn en bruto, sino aquella de la que podemos obtener valor tras su anĂĄlisis.
Infosys commissioned an independent market research company, Vanson Bourne, to investigate the use of digital technologies and key trends in nine industries. We surveyed 1,000 senior decision makers from business and IT, from large organizations with 1,000 employees or more and annual revenue of at least US$500 million.
The report aims to discover:
a) the surging tide of digital technology adoption in organizations â what is used and where?
b) the promised land of digital technology use, and the hurdles organizations face to get there
c) the biggest disruptive digital trends within the next three years and why organizations see them as vital to future success
The summary here presents the survey results and highlights the digital outlook that will define the healthcare industry strategy over the next three years.
5 tips to make your mainframe as fit as youInfosys
Â
Just like a periodic health check-up is important to assess your overall well-being, a detailed reexamination of the enterprise IT landscape is paramount. We take a look at the various ways an enterprise needs to revamp its mainframe and sharpen its functionalities to stay ahead of the game. While APIs aid you in providing superior customer service, migrating to the cloud provides you with scalability and resilience. These and many more sub-offerings from Infosys aid your organization in staying agile and equipped to leverage the latest technologies to cater to the ever-changing market. Learn more.
Human Amplification In The Enterprise - Resources and UtilitiesInfosys
Â
Infosys commissioned a study to develop a research methodology and get insights into the current nature of digital transformation enterprises undergo, across industry verticals. This deck provides industry specific insights from Resources and Utilities.
The study sought to understand a) the specific drivers of digital transformation for enterprises, b) the various facets of this transformation, c) expected and ensuing outcomes, and d) the role of Artificial Intelligence (AI).
Human Amplification In The Enterprise - Telecom and CommunicationInfosys
Â
Infosys commissioned a study to develop a research methodology and get insights into the current nature of digital transformation enterprises undergo, across industry verticals. This deck provides industry specific insights from Telecom and Communication.
The study sought to understand a) the specific drivers of digital transformation for enterprises, b) the various facets of this transformation, c) expected and ensuing outcomes, and d) the role of Artificial Intelligence (AI).
Human Amplification In The Enterprise - Retail and CPGInfosys
Â
Infosys commissioned a study to develop a research methodology and get insights into the current nature of digital transformation enterprises undergo, across industry verticals. This deck provides industry specific insights from Retail and CPG.
The study sought to understand a) the specific drivers of digital transformation for enterprises, b) the various facets of this transformation, c) expected and ensuing outcomes, and d) the role of Artificial Intelligence (AI).
Human Amplification In The Enterprise - Manufacturing and High-techInfosys
Â
Infosys commissioned a study to develop a research methodology and get insights into the current nature of digital transformation enterprises undergo, across industry verticals. This deck provides industry specific insights from Manufacturing and High-tech.
The study sought to understand a) the specific drivers of digital transformation for enterprises, b) the various facets of this transformation, c) expected and ensuing outcomes, and d) the role of Artificial Intelligence (AI).
Human amplification in the enterprise - Automation. Innovation. Learning.Infosys
Â
Infosys commissioned a study to develop a research methodology and get insights into the current nature of digital transformation enterprises undergo, across industry verticals. This deck provides industry specific insights from Automation, Innovation and learning.
The study sought to understand a) the specific drivers of digital transformation for enterprises, b) the various facets of this transformation, c) expected and ensuing outcomes, and d) the role of Artificial Intelligence (AI).
Human Amplification In The Enterprise - Healthcare and Life SciencesInfosys
Â
Infosys commissioned a study to develop a research methodology and get insights into the current nature of digital transformation enterprises undergo, across industry verticals. This deck provides industry specific insights from Healthcare and Life Sciences
The study sought to understand a) the specific drivers of digital transformation for enterprises, b) the various facets of this transformation, c) expected and ensuing outcomes, and d) the role of Artificial Intelligence (AI).
Human Amplification In The Enterprise - Banking and InsuranceInfosys
Â
Infosys commissioned a study to develop a research methodology and get insights into the current nature of digital transformation enterprises undergo, across industry verticals. This deck provides industry specific insights from Banking and Insurance.
The study sought to understand a) the specific drivers of digital transformation for enterprises, b) the various facets of this transformation, c) expected and ensuing outcomes, and d) the role of Artificial Intelligence (AI).
Take a glimpse at few of our efforts that we made to demonstrate that efficient technologies can easily be deployed in large scale in a cost effective manner to make our campus environmental friendly on this World Environment Day 2015
The Information Services industry is in the eye of the digital storm. Two major contenders within this industry - traditional and new age media companies must adopt strategies for the significant mass of millennials and demanding consumers.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Â
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Dev Dives: Train smarter, not harder â active learning and UiPath LLMs for do...UiPathCommunity
Â
đĽ Speed, accuracy, and scaling â discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Miningâ˘:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing â with little to no training required
Get an exclusive demo of the new family of UiPath LLMs â GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
đ¨âđŤ Andras Palfi, Senior Product Manager, UiPath
đŠâđŤ Lenka Dulovicova, Product Program Manager, UiPath
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
Â
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
Â
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. Whatâs changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
Â
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more âmechanicalâ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
Â
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties â USA
Expansion of bot farms â how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks â Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
Â
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Â
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Â
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
Â
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
Â
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
⢠The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
⢠Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
⢠Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
⢠Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
Â
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Â
Decision-making Leveraging Technology
1. Insights
Decision-making Leveraging Technology
- Komal Jain
In the five decades that management and business literature has evolved, numerous studies have been conducted on
what really separates successful companies from the rest. These studies highlight multiple reasons for their success
ranging from the presence of a visionary leader, ability of an organization to adapt to ever-changing conditions and
seizing opportunities at the right time. However, one of the most important factors that stands out is the ability to make
right decisions on a consistent basis.
According to Jim Collins, the author of best-selling book âGood to Great,â
âBreakthrough results come from a series of good decisions diligently executed and accumulated on top of one
another. Great companies make many more good decisions and these decisions are based on brutal facts.â
Given that making the right decisions consistently separates the leaders from the rest of the pack, the real question for any
business leader is how can information, across the organization, be leveraged to make the right business decisions and
create differentiation for the organization.
www.infosys.com
2. On the one hand, we have seen many significant technological extremely dynamic by leveraging yield management software.
changes in terms of innovation ranging from widespread The company can analyze a large volume of data gathered from
availability of mobile Internet, across both developed and multiple sources including competitive pricing information.
developing countries, to enterprise mobility, availability of Today, Amazon can very quickly change its product pricing
cheap computing power through Cloud and significant growth and offer best deals to its customers in a matter of minutes -
in the arenas of Big Data and analytics. something that would take a traditional retailer daysâŚeven
weeks.
On the other hand, companies can capture a great volume
of structured and unstructured data from multiple sources Google
such as customer searches, preferences, order history, social Each week, millions of users around the world search for health
networking sites, online forums, call records, photo archives, information online. As part of Google Flu Trends, Google
video archives, blogs and such like. According to some has diagnosed a close relationship between the number
estimates, Wal-Mart handles more than 1 million customer of people searching for flu-related topics and the number
transactions every hour, which are imported into databases of people actually exhibiting symptoms of flu. Google Flu
that are estimated to contain more than 2.5 petabytes of data Trends currently reaches a number of countries around the
â the equivalent of 167 times the information contained in all world and is updated every day. For epidemiologists, this is
the books in the US Library of Congress! Facebook handles an exciting development, because early detection of a disease
more than 40 billion photos from its user base. In terms of outbreak can reduce the number of people affected. Such real-
cheap computing power, decoding the human genome time estimates may enable public health officials and health
originally took 10 years to process, and now it can be done professionals to improve response to seasonal epidemics and
in a week at significantly lower costs. All these changes have pandemics.
provided companies the opportunity to leverage technology
and data to obtain insights that, in turn, help them improve Capital One
customer satisfaction, identify opportunities for new product Capital One leverages its advanced data analytics expertise
introduction, improve customer conversion rates, focus on to discover, target and serve its most profitable customers;
premium customers. Here are some interesting examples: it runs more than 300 tests every day towards this end. The
company effectively uses data on interest rates, rollover
Here are some more tales from the business side.
incentives, special promotions, and such like to decrease
Amazon the cost of customer acquisition and increase its customer
The global leader in e-commerce was one of the first few retention rate. According to a study, Capital One increased its
companies to customize its website and provide personalized customer retention by 87% and lowered the cost of acquiring
recommendations on the basis of usersâ buying behavior, a new customer by 83% over a period of 2-3 years by using
search and browsing history. This personalized experience advanced data analytics.
enabled Amazon to maintain customer stickiness and led Marriott
to Amazonâs fast growth. Now, Amazon has made pricing
This leading hospitality organization employs fact-based
decision-making to optimize its pricing model and increase
occupancy levels. Marriottâs revenue-management system,
One Yield, identifies its most profitable customers through its
loyalty program and targets special marketing offers at them.
Marriott realized an increase in revenue from leisure customers
and an annual profit increase of $86 million. Marriott attributes
these results, in part, to One Yield.
2 | Infosys
3. As is evident from these instances, companies are constantly do to overcome this? There is merit in focusing on the following:
mining large volumes of data to obtain deeper insights and
make improvements across a wide range of operations. If Asking the right questions
you consider these examples, few common themes emerge: Companies are succeeding in leveraging big data not only
because they have the right tools, but also because they
1) Availability of Relevant Data and Cheap Computing Power
are asking the right questions. In every company, it is the
The availability of relevant data and the organizationâs ability leadershipâs responsibility to define vision, identify success
to capture it economically is primary and most significant. parameters and set the right priorities. Business analytics
The advent of sensors has facilitated data availability. cannot replace the power of human vision and insight. Efficient
Similarly, Internet forums and social media platforms, like business leaders are invaluable assets to the company â
Facebook and Twitter, have turned into invaluable data because it is they who provide vision, spot great opportunities,
sources of customer preferences and buying behavior. understand market trends, and motivate both consumers and
In addition, open source frameworks such as Apache⢠employees to embrace change.
HadoopÂŽ have enabled companies to process petabytes
of information cost effectively. This combination of Effective decision making
information being readily available and low cost computing Successful organizations provide decision makers the right
power has accelerated the pace of data analytics. information at the right time. Business analytics and big data
can provide insights at a much faster pace than ever before.
2) Use of Right Skills and Processes
The organization structure should be flexible and agile to
Many companies spend millions of dollars on the latest harness these opportunities. Leaders need to open their minds
software and hardware to get them the best data analytics to out-of-the-box ideas and insights. They need to consciously
engines. Having the right processes and the right talent is look at minimizing the âNot-Invented-Here Syndrome.â
equally important to analyze aggregated data and turn it
into actionable results. At times, not having the right talent Openness to change
(core skills like data scientists) could potentially slow the Business analytics calls for change in the decision making
complete program. culture of companies. The first question a data-driven
organization asks itself is âWhat do we know and what do
3) Close Monitoring of the Feedback Loop
we not?â and not âWhat do you think?â Becoming such an
A closely monitored feedback loop is important to fine-tune organization requires a company to move from a culture of
models and improve the accuracy of data-based analysis, relying on raw instinct to adopting a very data-centric view.
which becomes significant when companies are trying to Leaders should promote an unbiased, methodical approach
correlate multiple factors impacting their environment. towards data analytics and right decision making; they must
avoid focusing on what cannot be done and instead make a
That being said, technology alone canât do it all. conscious effort to emphasize what can be done to realize
There are numerous examples of companies having invested the companyâs vision.
millions of dollars in the latest technology and still falling short
Avoiding selective use of data
of accurately forecasting market needs. When it comes to
path-breaking innovation or new market entry, data analytics Organizations need to break the bad habit of pretending to be
can often fall short. Henry Ford once said, âIf I had asked my more data-driven than they actually are. Many unnecessarily
customers what they wanted, they would have said faster spice up presentations with a lot of data in support of decisions
horses!â More recent, is the example of Appleâs launch of that have already been made. Others make decisions and
the iPod and iTunes - online music store. While conventional solicit the help of consultants to validate or support them.
research predicted that such a product would fail as customers
Economic cost
download free music from the Internet and would be unwilling
to pay for music, Apple co-founder Steve Jobs ignored the Economic cost is an important factor in defining technology
findings and said: âIt isnât the consumerâs job to know what she investments. Companies go to great lengths to build the best
want. That is Appleâs job. Our job is to figure out what theyâre decision-making engines possible, spending millions of dollars
going to want before they do.â in the process. The availability of technology does not imply that
it should be used. Apart from considering the cost of software,
iPod and iTunes went on to completely revolutionize the music
services, hardware, and ongoing maintaining costs, companies
industry by providing consumers a viable option to counter
also need to consider the management time required for such
pirated music. Itâs clear that sometimes it is essential to create
initiatives. They should define the level of information required
a vision of the future and build the required product lines,
for decision making â for instance, is it a broad trend or granular
ignoring historical data if need be. While prior data analysis
customer information thatâs needed?
can provide some insights, it takes vision to conceptualize
something new.
Technology has its own limitations when it comes to identifying
the sources of long-term business impact. What can companies
Infosys | 3
4. In summary The evidence is clear: Effective understanding REFERENCES
of data leads to better decisions. Leaders
⢠Big Data â Management Revolution in
of successful organizations are already HBR
embracing this mindset to create competitive ⢠NY times article
differentiation. They are combining data with
⢠Competing On Analytics by Thomas H.
vision and foresight, and changing the structure Davenport and Jeanne G. Harris.
and culture of their organizations to become ⢠http://www.google.org/flutrends/
truly data-centric. And hugely successful.
About the Author
Komal Jain
Associate Vice President and Head of Semiconductor Sector - North America, Infosys
Komal joined the company in June 1998 and since then has played a variety of leadership roles in client services,
sales & operations. Komal has been instrumental in helping clients develop and implement their Business Transformation
programs, Global Sourcing strategy and IT initiatives. Komal participates in the steering committees of many of the
key client relationships.
Komal holds a Bachelorâs degree in Electronics Engineering from Kurukshetra University and an MBA from the Indian
Institute of Management, Kolkata. Komal also is a marathon runner and lives in the Dallas, TX.
About Infosys
Infosys partners with global enterprises to drive their innovation-led growth.
That's why Forbes ranked Infosys 19 among the top 100 most innovative
companies. As a leading provider of next-generation consulting, technology
and outsourcing solutions, Infosys helps clients in more than 30 countries
realize their goals. Visit www.infosys.com and see how Infosys (NYSE: INFY),
with its 150,000+ people, is Building Tomorrow's EnterpriseÂŽ today.
For more information, contact askus@infosys.com www.infosys.com
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