***
This slide was shared at Tech in Asia Product Development Conference 2017 (PDC'17) on 9-10 August 2017.
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"Planning Your Analytics Implementation" by Bachtiar Rifai (Kofera Technology)Tech in Asia ID
Bachtiar is a tech startup & science enthusiast with more than 7 years experience in digital marketing, ecommerce, analytics and product development. Bachtiar has spend his career life as marketing leader at top ecommerce such as Lazada & Blanja.com. Currently Bachtiar develop a startup called Kofera, a technology company who provides Software as a Service (SaaS) marketing automation platform powered by Artificial Intelligence (AI) and machine learning. Established in 2016, Kofera helps companies build & optimize PPC campaign using machine learning algorithm to maximize business ROI. Kofera has helped many clients from various industries. Recently, Kofera received pra-series A funding lead by MDI Ventures and followed by Indosterling, DNC & Gunung Sewu.
***
This slide was shared at Tech in Asia Product Development Conference 2017 (PDC'17) on 9-10 August 2017.
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"How To Build and Lead a Winning Data Team" by Cahyo Listyanto (Bizzy.co.id)Tech in Asia ID
Cahyo is a data geek, gamer and comic nerd.
Excel and Database are his favorite since his middle school.
Having graduated from a Vocational High School of Informatics and Technology
made him able to start his career early and led many DWH BI projects at his early 20.
He currently leading a data team in bizzy.co.id as the Head of Data Analytics.
Previously he worked for Microsoft Indonesia as Data Platform Technology Specialist where he provides strategic technical leadership supporting Microsoft customers and partners to adopt, deploy, and support solutions based on SQL Server and Data Platform related technologies.
***
This slide was shared at Tech in Asia Product Development Conference 2017 (PDC'17) on 9-10 August 2017.
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"Data Informed vs Data Driven" by Casper Sermsuksan (Kulina)Tech in Asia ID
Casper is currently the Head of Product & Growth at Kulina, an online food subscription service in Jakarta. Casper is responsible for driving product management and growth initiatives as well as leading marketing efforts. Previously, he led the product marketing teams at Product Madness in San Francisco. During his tenure at Product Madness, he helped the company's top app, Heart of Vegas achieve the record of $200M in annual revenue. Outside of his day-to-day work, he advises corporations and startups on product and growth, and writes frequently on Startup Grind, Mind the Product & Muzli. He graduated with a business degree from the University of Southern California in Los Angeles.
***
This slide was shared at Tech in Asia Product Development Conference 2017 (PDC'17) on 9-10 August 2017.
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Ironside's VP of Strategy & Innovation, Greg Bonnette, delivered a presentation on "How to Build a Winning Strategy for Data & Analytics" to provide a framework for data-driven decision making.
Operationalizing Data Science: The Right Architecture and ToolsVMware Tanzu
In part one of this two-part series, you learned some of the common reasons enterprises struggle to turn insights into actions as well as a strategy for overcoming these challenges to successfully operationalize data science. In part two, it’s time to fill in the architectural and technological details of that strategy.
Pivotal Data Scientist Megha Agarwal will share the key ingredients to successfully put data science models in production and use them to drive actions in real-time. In this webinar, you will learn:
- Adopting extreme programming practices for data science
- Importance of working in a balanced team
- How to put and maintain machine learning models in production
- End-to-end pipeline design
Presenter: Megha Agarwal, Data Scientist
"Planning Your Analytics Implementation" by Bachtiar Rifai (Kofera Technology)Tech in Asia ID
Bachtiar is a tech startup & science enthusiast with more than 7 years experience in digital marketing, ecommerce, analytics and product development. Bachtiar has spend his career life as marketing leader at top ecommerce such as Lazada & Blanja.com. Currently Bachtiar develop a startup called Kofera, a technology company who provides Software as a Service (SaaS) marketing automation platform powered by Artificial Intelligence (AI) and machine learning. Established in 2016, Kofera helps companies build & optimize PPC campaign using machine learning algorithm to maximize business ROI. Kofera has helped many clients from various industries. Recently, Kofera received pra-series A funding lead by MDI Ventures and followed by Indosterling, DNC & Gunung Sewu.
***
This slide was shared at Tech in Asia Product Development Conference 2017 (PDC'17) on 9-10 August 2017.
Get more insightful updates from TIA by subscribing techin.asia/updateselalu
"How To Build and Lead a Winning Data Team" by Cahyo Listyanto (Bizzy.co.id)Tech in Asia ID
Cahyo is a data geek, gamer and comic nerd.
Excel and Database are his favorite since his middle school.
Having graduated from a Vocational High School of Informatics and Technology
made him able to start his career early and led many DWH BI projects at his early 20.
He currently leading a data team in bizzy.co.id as the Head of Data Analytics.
Previously he worked for Microsoft Indonesia as Data Platform Technology Specialist where he provides strategic technical leadership supporting Microsoft customers and partners to adopt, deploy, and support solutions based on SQL Server and Data Platform related technologies.
***
This slide was shared at Tech in Asia Product Development Conference 2017 (PDC'17) on 9-10 August 2017.
Get more insightful updates from TIA by subscribing techin.asia/updateselalu
"Data Informed vs Data Driven" by Casper Sermsuksan (Kulina)Tech in Asia ID
Casper is currently the Head of Product & Growth at Kulina, an online food subscription service in Jakarta. Casper is responsible for driving product management and growth initiatives as well as leading marketing efforts. Previously, he led the product marketing teams at Product Madness in San Francisco. During his tenure at Product Madness, he helped the company's top app, Heart of Vegas achieve the record of $200M in annual revenue. Outside of his day-to-day work, he advises corporations and startups on product and growth, and writes frequently on Startup Grind, Mind the Product & Muzli. He graduated with a business degree from the University of Southern California in Los Angeles.
***
This slide was shared at Tech in Asia Product Development Conference 2017 (PDC'17) on 9-10 August 2017.
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Ironside's VP of Strategy & Innovation, Greg Bonnette, delivered a presentation on "How to Build a Winning Strategy for Data & Analytics" to provide a framework for data-driven decision making.
Operationalizing Data Science: The Right Architecture and ToolsVMware Tanzu
In part one of this two-part series, you learned some of the common reasons enterprises struggle to turn insights into actions as well as a strategy for overcoming these challenges to successfully operationalize data science. In part two, it’s time to fill in the architectural and technological details of that strategy.
Pivotal Data Scientist Megha Agarwal will share the key ingredients to successfully put data science models in production and use them to drive actions in real-time. In this webinar, you will learn:
- Adopting extreme programming practices for data science
- Importance of working in a balanced team
- How to put and maintain machine learning models in production
- End-to-end pipeline design
Presenter: Megha Agarwal, Data Scientist
Five Pitfalls when Operationalizing Data Science and a Strategy for SuccessVMware Tanzu
Enterprise executives and IT teams alike know that data science is not optional, but struggle to benefit from it because the process takes too long and operationalizing models in applications can be hairy.
Join guest speaker, Forrester Research’s Mike Gualtieri and Pivotal’s Jeff Kelly and Dormain Drewitz for an interactive discussion about operationalizing data science in your business. In this webinar, the first of a two-part series, you will learn:
- The essential value of data science and the concept of perishable insights.
- Five common pitfalls of data science teams.
- How to dramatically increase the productivity of data scientists.
- The smooth hand-off steps required to operationalize data science models in enterprise applications.
Presenter : Guest Speakers Mike Gualtieri, Forrester, Dormain Drewitz and Jeff Kelly, Pivotal
Career Development Programmes for Data Scientists and Data Analysts (for indi...NUS-ISS
Specially designed for future Data Science and Analytics Professionals, this session is for individuals (PMEs) who wish to know more about the Industry Transformation Programme landscape. We provide an overview of all NUS-ISS career development schemes and pathways.
We will also deep dive into the specific programme modules in detail. Be guided through frequently asked questions related to the programmes and get your questions answered at our Q&A session.
Your smarter data analytics strategy - Social Media Strategies Summit (SMSS) ...Clark Boyd
The volume and velocity of available data brings with it a huge amount of new opportunities for marketers. However, without the analytics know-how to avail of this data, these are opportunities that are often missed. Moreover, the variety of different data sources and analytics platforms only add to this complexity.
This presentation covers:
- How to define and communicate an analytics framework
- How to set up analytics dashboards for a range of stakeholders
- The people and skills you need for an optimal analytics team
- Practical tips for improving your campaign measurement
Business Analytics to solve your Business ProblemsVishal Pawar
Business Analytics Solution in 12 Steps
What is Business Analytics ?
Why we need it ?
Identify your Focus Area and Target Applications
Importance of Business Analytics with different Roles
Confirming your Business Goal with value of Business Analytics
Differentiating Business Analysis , Analyst & Intelligence
What world is doing for Business Analytics Problems
Segregate solution with Data Discovery , Analytics & Science
Gathering information with All Available Data Source
Developing Business Analytics Framework & Components
Developing Visualization with Best User Experience
Improvising Maturity Level of Business Analytics
Get Connected with Expert Team , Who know technology !
This presentation was part of the talk delivered by T Ashok Founder & CEO STAG Software at the HSTC 2013: "Think Testing" Conference on Nov 21 & 22 at Hyderabad.
Agile Analytics: The Secret to Test, Improve, Fail & Succeed Quickly.Venveo
We all want to get our ideas to market quickly and see results as fast as possible, but are we losing valuable insights in the process? This talk is aimed at illustrating how companies are changing their approach to marketing and innovation in order to be better informed about the decisions they make and be more customer-focused in the process. Find out how your organization can succeed more quickly by finding the right kinds of data and innovating in the process.
Seeking MSBI Azure Cloud Solution Engineer/Architect position for a progressive company open for relocation; Desire to build client satisfaction using both emerging technologies and proven methods in innovative ways.
"Rebuilding UI at Large Scale" by Monika Halim (GO-JEK)Tech in Asia ID
Monika Halim, or most people call her Momo, believe that being human-centered should also makes us a better person. She's heading GO-JEK's Product Design team that builds over 20 products for consumer, drivers and partners.
She graduated as Bachelor of Design from Bandung Institute of Technology with major in Visual Communication Design, her past experiences including researching and designing for Indonesia Mengajar, led the design & optimization team at ZALORA, and part of the OgilvyOne’s Asia Pacific UX Team.
***
This slide was shared at Tech in Asia Product Development Conference 2017 (PDC'17) on 9-10 August 2017.
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Business Intelligence And Business Analytics | ManagementTransweb Global Inc
Business Intelligence is the initial basic step of Business Analytics. It refers to gathering raw and complex data, and converting it into systematic and logical information in a format that is usable by the end user. Copy the link given below and paste it in new browser window to get more information on Business Intelligence And Business Analytics:-
http://www.transtutors.com/homework-help/management/managing-information-technology/business-intelligence-analytics/
Advanced data visualization (ADV) is a rapidly emerging concept in business and society and has a lofty goal of transforming data into information. But how do we get there?
What is Data Visualization: A Comprehensive GuideLucy Zeniffer
What is Data Visualization: A Comprehensive Guide" offers a concise exploration of the fundamental concepts and techniques behind visualizing data. From charts and graphs to interactive dashboards, this guide illuminates how data visualization enhances understanding and decision-making across various domains. Dive into the art and science of transforming raw data into insightful visuals.
Five Pitfalls when Operationalizing Data Science and a Strategy for SuccessVMware Tanzu
Enterprise executives and IT teams alike know that data science is not optional, but struggle to benefit from it because the process takes too long and operationalizing models in applications can be hairy.
Join guest speaker, Forrester Research’s Mike Gualtieri and Pivotal’s Jeff Kelly and Dormain Drewitz for an interactive discussion about operationalizing data science in your business. In this webinar, the first of a two-part series, you will learn:
- The essential value of data science and the concept of perishable insights.
- Five common pitfalls of data science teams.
- How to dramatically increase the productivity of data scientists.
- The smooth hand-off steps required to operationalize data science models in enterprise applications.
Presenter : Guest Speakers Mike Gualtieri, Forrester, Dormain Drewitz and Jeff Kelly, Pivotal
Career Development Programmes for Data Scientists and Data Analysts (for indi...NUS-ISS
Specially designed for future Data Science and Analytics Professionals, this session is for individuals (PMEs) who wish to know more about the Industry Transformation Programme landscape. We provide an overview of all NUS-ISS career development schemes and pathways.
We will also deep dive into the specific programme modules in detail. Be guided through frequently asked questions related to the programmes and get your questions answered at our Q&A session.
Your smarter data analytics strategy - Social Media Strategies Summit (SMSS) ...Clark Boyd
The volume and velocity of available data brings with it a huge amount of new opportunities for marketers. However, without the analytics know-how to avail of this data, these are opportunities that are often missed. Moreover, the variety of different data sources and analytics platforms only add to this complexity.
This presentation covers:
- How to define and communicate an analytics framework
- How to set up analytics dashboards for a range of stakeholders
- The people and skills you need for an optimal analytics team
- Practical tips for improving your campaign measurement
Business Analytics to solve your Business ProblemsVishal Pawar
Business Analytics Solution in 12 Steps
What is Business Analytics ?
Why we need it ?
Identify your Focus Area and Target Applications
Importance of Business Analytics with different Roles
Confirming your Business Goal with value of Business Analytics
Differentiating Business Analysis , Analyst & Intelligence
What world is doing for Business Analytics Problems
Segregate solution with Data Discovery , Analytics & Science
Gathering information with All Available Data Source
Developing Business Analytics Framework & Components
Developing Visualization with Best User Experience
Improvising Maturity Level of Business Analytics
Get Connected with Expert Team , Who know technology !
This presentation was part of the talk delivered by T Ashok Founder & CEO STAG Software at the HSTC 2013: "Think Testing" Conference on Nov 21 & 22 at Hyderabad.
Agile Analytics: The Secret to Test, Improve, Fail & Succeed Quickly.Venveo
We all want to get our ideas to market quickly and see results as fast as possible, but are we losing valuable insights in the process? This talk is aimed at illustrating how companies are changing their approach to marketing and innovation in order to be better informed about the decisions they make and be more customer-focused in the process. Find out how your organization can succeed more quickly by finding the right kinds of data and innovating in the process.
Seeking MSBI Azure Cloud Solution Engineer/Architect position for a progressive company open for relocation; Desire to build client satisfaction using both emerging technologies and proven methods in innovative ways.
"Rebuilding UI at Large Scale" by Monika Halim (GO-JEK)Tech in Asia ID
Monika Halim, or most people call her Momo, believe that being human-centered should also makes us a better person. She's heading GO-JEK's Product Design team that builds over 20 products for consumer, drivers and partners.
She graduated as Bachelor of Design from Bandung Institute of Technology with major in Visual Communication Design, her past experiences including researching and designing for Indonesia Mengajar, led the design & optimization team at ZALORA, and part of the OgilvyOne’s Asia Pacific UX Team.
***
This slide was shared at Tech in Asia Product Development Conference 2017 (PDC'17) on 9-10 August 2017.
Get more insightful updates from TIA by subscribing techin.asia/updateselalu
Business Intelligence And Business Analytics | ManagementTransweb Global Inc
Business Intelligence is the initial basic step of Business Analytics. It refers to gathering raw and complex data, and converting it into systematic and logical information in a format that is usable by the end user. Copy the link given below and paste it in new browser window to get more information on Business Intelligence And Business Analytics:-
http://www.transtutors.com/homework-help/management/managing-information-technology/business-intelligence-analytics/
Advanced data visualization (ADV) is a rapidly emerging concept in business and society and has a lofty goal of transforming data into information. But how do we get there?
What is Data Visualization: A Comprehensive GuideLucy Zeniffer
What is Data Visualization: A Comprehensive Guide" offers a concise exploration of the fundamental concepts and techniques behind visualizing data. From charts and graphs to interactive dashboards, this guide illuminates how data visualization enhances understanding and decision-making across various domains. Dive into the art and science of transforming raw data into insightful visuals.
The Softer Skills Analysts need to make an impactPaul Laughlin
25 min presentation given at London Business School, to the OR Society's Analytics Network. Summarising Laughlin Consultancy's 9 step model of Softer Skills for Analysts.
User-Friendly Data Modeling & Forecasting With Working BIGrow
Are you tired of grappling with intricate data modeling and forecasting techniques? Unleash the potential of user-friendly data modeling and forecasting with working BI, empowering business users to navigate and extract valuable insights from their data with ease. Say goodbye to complexity and welcome a streamlined approach to decision-making with BI reporting solutions.
How Can Business Analytics Dashboard Help Data Analysts.pdfGrow
The Business analytics dashboard provides a centralized platform that empowers data analysts to explore, analyze, and visualize data more efficiently and intuitively, ultimately driving better decision-making. You can discover how these intuitive Business Intelligence dashboard tools enhance every aspect of data analysis and streamline a data analyst's job. Revolutionize how data analysts function and make the data analysis journey successful by visiting Grow.com.
This presentation is based on the article Simplify Your Analytics Strategy by Narendra Mulani.I have made this presentation
as a part of my data internship course
Data storytelling connects two worlds, As a result, storytelling is fast becoming the most effective way to reach people. Storytelling is the new way to get consumers and the answers they need about you and your business. It's also becoming a vital element of a strong campaign, and stories are a proven medium for teaching, explaining, and influencing. Data storytelling is a communication technique that uses data as the guiding source. For more just check it out this presentation, and you will get best ideas from it. For more email us on info@nds.group
Business Intelligence is an umbrella term that combines architectures, applications, and databases. It enables the real-time, interactive access, analysis, and manipulation of information, which provides the business community with easy access to business data. By giving this valuable insight, BI helps decision-makers make more informed decisions and supplies end-users with critical business information on their customers or partners, including information on behaviours and trends.”
Data Visualization & Why it is Important in Your BusinessDigital Dialogue
Numbers can be powerful, but interpreting and using them effectively can be challenging for many people. This is where data visualization comes into play. By creating clear and concise visual representations of data, you can help your employees and clients better understand your business and the insights it offers.
Leverage Sage Business Intelligence for Your OrganizationRKLeSolutions
Learn how Sage Business Intelligence provides the insight you need to make better decisions faster! This informative presentation explores Sage Intelligence and Sage Enterprise Intelligence solutions for Sage 100, Sage 500 and Sage X3.
In the past decade, the HR function has undergone a significant transformation. It has evolved from being a support function to a strategic business driver. Modern day HR’s can leverage plethora of data that to manage Employee Engagement. This presentation describes in detail about BRIDGEi2i’s offering on Employee Engagement Analytics and how HR’s can leverage the data eco system to get granular insights for improving Employee Engagement with snapshots of key deliverables
"ILO's Work on Skills Development" by Project Coordinators International Labo...Tech in Asia ID
This slide was shared at ILO Meetup: “Empowering Female Youth Through ICT Skills” on 19 June 2019.
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"Women in STEM: Leveraging Talent in ICT Sector" by Maya Juwita (Executive Di...Tech in Asia ID
This slide was shared at ILO Meetup: “Empowering Female Youth Through ICT Skills” on 19 June 2019.
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Laporan Kondisi Pendanaan Startup di Indonesia Kuartal Ketiga Tahun 2018Tech in Asia ID
Bagaimana kondisi ekosistem startup di kuartal ketiga tahun 2018 ini? Siapa yang berhasil mendapat pendanaan besar dan siapa yang akhirnya harus menyerah hingga menutup layanan? Simak selengkapnya di laporan kondisi startup Indonesia Q3 2018 berikut ini.
Laporan Kondisi Pendanaan Startup di Indonesia Kuartal Kedua Tahun 2018Tech in Asia ID
Bagaimana kondisi ekosistem startup di kuartal kedua tahun 2018 ini? Siapa yang berhasil mendapat pendanaan besar dan siapa yang akhirnya harus menyerah hingga menutup layanan? Simak selengkapnya di laporan kondisi startup Indonesia Q2 2018 berikut ini.
Laporan Kondisi Pendanaan Startup di Indonesia Kuartal Pertama Tahun 2018Tech in Asia ID
Bagaimana kondisi ekosistem startup di awal tahun 2018 ini? Siapa yang berhasil mendapat pendanaan besar dan siapa yang akhirnya harus menyerah hingga menutup layanan? Simak selengkapnya di laporan kondisi startup Indonesia Q1 2018 berikut ini.
Laporan Kondisi Pendanaan Startup di Indonesia Tahun 2017Tech in Asia ID
Benarkah iklim pendanaan startup di tahun 2017 yang lalu mengalami penurunan? Startup seperti apa yang paling diminati oleh investor saat ini? Simak ulasan selengkapnya di laporan Tech in Asia Indonesia berikut.
"Less Painful iOS Development" by Samuel Edwin (Tokopedia)Tech in Asia ID
An iOS engineer who loves Swift and recently, Javascript. Always trying to find better ways to make software development less frustrating and more fun.
***
This slide was shared at Tech in Asia Product Development Conference 2017 (PDC'17) on 9-10 August 2017.
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"Product Development Story Loket.com" by Aruna Laksana (Loket.com)Tech in Asia ID
Aruna Laksana is Senior Product Manager at Loket.com The company LOKET.com Provide the end-to-end best technology to support the entertainment industry from event discovery, ticketing platform, ticket distribution, ground handling services (access control & cashless payment), and Brand Activation. All this Support leads to Customer Data Analytics.
***
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"DOKU under the hood : Infrastructure and Cloud Services Technology" by M. T...Tech in Asia ID
M. Triana Waluja Djati or Djati, was assigned as Technical Advisor to DOKU back in 2008 and permanently joining DOKU on 2009. Ever since, he is trusted to manage DOKU’s network, system, and IT infrastructure. He has been working closely with IT developer and IT operations team. He is also in charge for IT security and product’s compliance. Djati began his career working as a developer in a software company in 1998. He worked at PT. Hariff DTE in 2014 as IT Supervisor for ERP System. Djati graduated from Institut Teknologi Bandung with a bachelor degree in Physics.
***
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Citcall : Real-Time User Verification with Missed-Call Based OTPTech in Asia ID
From Tech in Asia Product Development Conference (Special Stage)
Speaker : Joel Kereh Hartanto, Founder Citcall
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"Functional Programming in a Nutshell" by Adityo Pratomo (Froyo Framework)Tech in Asia ID
Didit is a Unity Certified Developer and Currently working as a Co-founder/ CTO at Labtek Indie, a company’s R&D Technology, as well as the Chief Academic Officer in Froyo Framework. He has created many interactive installations for brands such as Nike, Hero, Dunhill, and Heineken among others. He also taught at Surya University for several years, gaining valuable insight in teaching and researching in the process.
***
This slide was shared at Tech in Asia Product Development Conference 2017 (PDC'17) on 9-10 August 2017.
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"Building High Performance Search Feature" by Setyo Legowo (UrbanIndo)Tech in Asia ID
Setyo is a computer science enthusiast who focuses on software engineering and computer system.
For more than 8 years experience in programming, he has developed various features and projects mostly in websites, desktop, and mobile applications. For him, good software product must have at least clean code, engaging UI/UX, and responsive.
***
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"Building Effective Developer-Designer Relationships" by Ifnu Bima (Blibli.com)Tech in Asia ID
Ifnu is a coder at hearth. Love writing code for anything interesting, from small hobby to solve complicated problem that will change Indonesian consumer behavior.
He starts his professional work as Software Developer 10+ years ago, mostly as Consultant for Financial Industry. At Blibli.com, he encourages and help the company to develop its own platform and continuously improve its engineering capability.
Now he assumes Development Manager role that basically an engineering manager role. He oversees development of Blibli.com web UI, mobile apps, Content Management System (CMS) and Search Engine.
He loves to learn and evolve himself to understand deeper about business and engineering culture.
***
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"How Scrum Motivates People" by Rudy Rahadian (XL Axiata)Tech in Asia ID
Rudy is graduated from non-IT/ non-Computer Science degree but start his debut as a Junior Web Designer at his own almamater, Brawijaya University - Malang with two silver bullet, Front Page and Photoshop Skill :) .
Ever work for various company scale, from startup to enterprise, even freelancing. Now, working as an Agent of Happyness (read: Scrum Master) in XL Axiata. He is very excited to have awesome team, both business and developer team, together build better software development environment, in Agile way. And the team looks so happy to nurture their 'baby scrum' now.
Also, he is actively going to Agile and Scrum event, meetup, congress, lean coffee, and also organize some scrum event in Jakarta. Means, still learn!
***
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"Control Your Mobile Development Cost" by Ray Rizaldy (GITS.ID)Tech in Asia ID
Ray is Business Director at GITS Indonesia, a company with mission to provide solution for good and empowering life using the most personal technology: Mobile!
A fan of agile software development and design thinking, he uses them to help his clients and partners to develop tech products especially mobile.
***
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"Build AI Compliant Whatsapp-like Chat App Using Qiscus SDK" by Evan Purnama ...Tech in Asia ID
Evan Purnama, born and grow up in Jogja. Went to Singapore and graduated in 3.5 years from NTU and worked at some IT companies in Singapore before decided to start his own startup tech company in early 2013, Qiscus Pte Ltd (Messaging Platform for Business, which in 2016 pivoted to Chat and Call Engine Services) and 1618 Pte Ltd (Software House).
Evan then moved back to Indonesia (Jogja) in mid 2013 to open Engineering Team. He is also active in TechTalk and startup communities in Jogja.
***
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"Unit Testing for Mobile App" by Fandy Gotama (OLX Indonesia)Tech in Asia ID
Currently, Fandy is the mobile apps tech lead works for OLX Indonesia and has been working on both Android and iOS since Cupcake and iOS 2.x respectively. As a tech lead he is responsible for delivering software into production safely and quickly in a sustainable way.
***
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"What are developer tools that can make developing for chat platforms faster ...Tech in Asia ID
Adam is a curious Software Engineer who constantly yearns to produce a structured, minimalist, understandable codes that in turn produce an elegant by product. Right, for Adam the code is the product, and the product is the by product of the code.
***
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StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
2. Hello!
I am Budiman Rusly
Head of Data Analytics at KMK Online
Publishing, Video and Messaging Platform
13 Years of Business Intelligence Experiences
▷E-commerce
Bizzy.co.id
▷CRM & Loyalty program
HP, Microsoft, Cisco, Eu Yan Sang – APAC Countries
▷Healthcare – Hospitals across Indonesia
8. Actionable Data Key Benefits
Speed
Analyze with greater speed
Better Decision-making
Better understand and improve
operation, financial model,
customer relationship, supply
chain, workforce and business
opportunity
Holistic Approach
Understanding and
interpreting information from
various data sources into
single Enterprise Data
Warehouse
10. “Does developing data analytic strategy enough
to drive actionable insight?
Data Analytic – From Strategy to Execution
11. “Executives say there is a direct correlation between well-designed
analytics programs and success in the marketplace.
However, the infrastructures and processes they require to support and
sustain such efforts still lag.
- Forbes Insight
Data Analytic – From Strategy to Execution
12. Data Analytic - From strategy to execution
What value exist in
your data?
Can you trust your
data ?
What happened and
why ?
What might happen
next?
What is the right
answer?
Is insight being delivered to the
right people at the right time?
How to embed data analytics into
our organization?
Delivering
Assurance
Intelligence
Improvement
Discover
Trust
Describe
Predict
Optimize
Empower
Embed
13. Blueprint process of making data actionable
Sketch
Find your inspiration. Conceptually
design about desired outcome
Visualize
By bring data to life, it helps display
unexpected finding in a clear manner
by focusing on trend, time
comparison and variable correlation
Effective and Better
Communication
Maintaining collaboration between
analyst, business users and other
stakeholders
Understanding Data
Dig into the data by filtering, sorting,
grouping and segmentation
Understanding which Chart
or Graph is right for you
Each chart and graph cater different
analytic purpose. Therefore, choosing
right chart is the first step towards
effective communication and story
14. Blueprint process of making data actionable
When a road narrows, due to dividers or
other obstructions, drivers need to be
made aware of the change in the path of
the roadway.
VS
15. 1. Blueprint – Sketch & Visualize
Sketch
Find your inspiration. Conceptually
design about desired outcome
Visualize
By bring data to life, it helps display
unexpected finding in a clear manner
by focusing on trend, time
comparison and variable correlation
20. 2. Blueprint – Effective and Better
Communication
Effective and Better
Communication
Maintaining collaboration between
analyst, business users and other
stakeholders
Regular Meeting
Weekly, biweekly, or Monthly
Build Relationship, trust and
respect
Learn business language,
performance, kpi
21. 3. Blueprint – Understanding Data & Chart
Understanding Data
Dig into the data by filtering,
sorting, grouping and
segmentation.
Understanding Which Chart
or Graph is right for you
Each chart and graph cater different
analytic purpose. Therefore, choosing
right chart is the first step towards
effective communication and story