MH
Uploaded byMesum Raza Hemani
352 views

Karachi.AI Meetup # 2: Artificial Intelligence in Finance/Accounting and Disrupting E-Commerce with AI

The document outlines an agenda for an event on enabling everyone to apply artificial intelligence. The event will be held on March 31, 2018 in Karachi. The agenda includes speakers on various topics related to applying AI in finance, accounting, ecommerce, and more. There will be breaks for networking and meals. The goal of the event is to educate people on applying AI and enable more collaboration in the field.

Technology◦
Related topics:
Deep Learning•

Embed presentation

1 / 142
2 / 142
3 / 142
4 / 142
5 / 142
6 / 142
7 / 142
8 / 142
9 / 142
10 / 142
11 / 142
12 / 142
13 / 142
14 / 142
15 / 142
16 / 142
17 / 142
18 / 142
19 / 142
20 / 142
21 / 142
22 / 142
23 / 142
24 / 142
25 / 142
26 / 142
27 / 142
28 / 142
29 / 142
30 / 142
31 / 142
32 / 142
33 / 142
34 / 142
35 / 142
36 / 142
37 / 142
38 / 142
39 / 142
40 / 142
41 / 142
42 / 142
43 / 142
44 / 142
45 / 142
46 / 142
47 / 142
48 / 142
49 / 142
50 / 142
51 / 142
52 / 142
53 / 142
54 / 142
55 / 142
56 / 142
57 / 142
58 / 142
59 / 142
60 / 142
61 / 142
62 / 142
63 / 142
64 / 142
65 / 142
66 / 142
67 / 142
68 / 142
69 / 142
70 / 142
71 / 142
72 / 142
73 / 142
74 / 142
75 / 142
76 / 142
77 / 142
78 / 142
79 / 142
80 / 142
81 / 142
82 / 142
83 / 142
84 / 142
85 / 142
86 / 142
87 / 142
88 / 142
89 / 142
90 / 142
91 / 142
92 / 142
93 / 142
94 / 142
95 / 142
96 / 142
97 / 142
98 / 142
99 / 142
100 / 142
101 / 142
102 / 142
103 / 142
104 / 142
105 / 142
106 / 142
107 / 142
108 / 142
109 / 142
110 / 142
111 / 142
112 / 142
113 / 142
114 / 142
115 / 142
116 / 142
117 / 142
118 / 142
119 / 142
120 / 142
121 / 142
122 / 142
123 / 142
124 / 142
125 / 142
126 / 142
127 / 142
128 / 142
129 / 142
130 / 142
131 / 142
132 / 142
133 / 142
134 / 142
135 / 142
136 / 142
137 / 142
138 / 142
139 / 142
140 / 142
141 / 142
142 / 142
WELCOME TO • MEETUP #: 2 • DATE: 31 – MAR – 2018 ENABLING EVERYONE TO APPLY ARTIFICIAL INTELLIGENCE
WELCOME TO ENABLING EVERYONE TO APPLY ARTIFICIAL INTELLIGENCE Event Co- Host THANKS TO OUR PARTNERS Learning Photography Sponsors & Supporters Giveaways
ENABLING EVERYONE TO APPLY ARTIFICIAL INTELLIGENCE A G E N D A Speaker Topic Time Slot Registration & Hi-Tea 30 Mins 6:00 PM KARACHI AI Mesum Hemani 05 Mins 6:35 PM Keynote Speaker Guest Speaker 10 Mins 6:45 PM Reciept Bot Irfan Sharif AI in Accounting (NC*) 10 Mins 6:55 PM Dante BaseH Anis A. Sheikh AI in Financial Reporting 20 Mins 7:15 PM Quants Society Sarah Rasheed AI in Financial Trading 20 Mins 7:35 PM Tez Financial Naureen Hyat AI in Financial Lending 20 Mins 7:55 PM Challenges with AI 8:00 PM Namaz Break 8:15 PM Key note - PEC Anum Kamran About PEC & Karachi.AI 10 Mins 8:25 PM Botsify Usama Noman Botsifying Ecommerce 20 Mins 8:45 PM AI in Ecommerce Mesum Hemani Intuition of AI in Ecommerce 30 Mins 9:15 PM Challenges with AI 9:20 PM ––––––– Closing Note ––––––– 9:30 PM Networking and Dinner 10:00 PM
LOCAL QUARTERLY GATHERINGS EDUCATION ECOSYSTEM MAPPING WHO WE ARE ? APPLIED ARTIFICIAL INTELLIGENCE COMMUNITY
1 5 M I N T A L K S B Y P E E R S O N L E S S O N S L E A R N E D A I C L I N I C F O R I N S T A N T C H A L L E N G E F E E D B A C K P E E R - T O - P E E R N E T W O R K I N G F O R R E L E V A N T E N G A G E M E N T S LOCAL COMMUNITY QUARTERLY GATHERINGS
C O N T E N T O N L O C A L E C O S Y S T E M A C T I V I T I E S & P L A Y E R S C U R A T E D , I N T E R A C T I V E L I S T S O F E C O S Y S T E M A C T I V I T I E S & P L A Y E R S * S P E C I A L R E P O R T D E V E L O P M E N T O N G L O B A L C H A L L E N G E S A P P L Y I N G A I * ECOSYSTEM MAPPING
Artificial intelligence is all about technology, what we do is all about people. We want everyone to discover the possibilities of artificial intelligence and have access to tools and knowledge of applying it in business. We want the global influencers in the applied AI field to share their lessons learned so we can learn from the best. Ultimately, we want to enable more people to apply AI and to connect & collaborate in the field to leverage it's potential. EDUCATION & AWARENESS C O N T E N T C U R A T I O N & D I S T R I B U T I O N O N A P P L I E D A I W O R K S H O P S E T U P & T R A I N I N G F A C I L I T A T I O N A R O U N D E V E N T S * P R O D U C T I O N O N L E S S O N S L E A R N E D & E D U C A T I O N A L R E S O U R C E S O N L I N E *
LEVERAGING THE POTENTIAL OF AI IN 50+ CITIES AFRICA Accra - Lagos ASIA Bangalore - Bangkok - Delhi - Hanoi - Hong Kong – Lahore – Karachi Jakarta - Kuala Lumpur - Pune - Seoul - Singapore - Taipei AUSTRALASIA Wellington EUROPE Amsterdam - Berlin - Bratislava - Brussels - Bucharest - Budapest - Cambridge - Cluj - Copenhagen - Delft - Geneva - Hamburg - Helsinki - Krakow - London - Madrid - Munich- Paris - Rome - Sofia - Stockholm - Tallinn - Tirana - Valencia -Valletta - Vienna - Zurich NORTH AMERICA Austin - LA - New York - San Diego - San Francisco SOUTH AMERICA Bogota - La Paz - Sao Paulo
GUEST SPEAKER SHOAIB UL HAQ(Assistant Professor, Karachi School of Business & Leadership) PhD in Business Administration
Karachi AI 2.0 AI in Finance Shoaib Ul-Haq
HEADING: 2030 COVFEFE
Overview of AI • What is AI? – “The ability of a machine to perform cognitive functions we associate with human minds” – Ex: Perceiving, reasoning, learning, problem solving • Goal of AI – Develop computer systems that exhibit intelligence or simulate the ability to think • AI pioneered by Computer Science • But, AI involves a combination of – Computer Science, Biology, Psychology, Linguistics, Mathematics, Engineering
What really is Intelligence? • Specifically, what are the signs of Intelligent Behavior?
AI building blocks
AI revolution in finance • Explosion of interest in quantitative investing • Use high-speed computers and AI algorithms • Find out patterns which can be exploited by trading algorithms – Spot even transitory opportunities – Continuous research on new signals and data sets • Cost efficiency – Pressure on fees and margins
Ron Kahn, Head of research at SAE “There is a lot of disruption going on in asset management. It may not be a great time to be a 50-year old asset manager but it is a great time to be a 28-year old with a lot of quantitative abilities”
Challenges of algorithmic trading
Gold in yellow, left axis; S&P in green
LESSONS LEARNED IN
IRFAN SHARIF Co-Founder Receipt Bot on Applications of AI in Accounting SARA RASHEED Quant @ Matrix Systems Pvt Ltd on Application of AI in Financial Trading LESSONS LEARNED BY ANIS SHEIKH Founder Base-H on Applications of AI in Content Writing NAUREEN HYAT Co-Founder Tez Financial Services on Applications of AI in Financial Lending
Applications of AI in Accounting & Reconciliation [ KARACHI AI ] BY: IRFAN SHARIF (ACCA, Ex PwC)
Artificial Intelligence In Accounting
Irfan Sharif • Cofounder and COO Receipt Bot – AI Driven Bookkeeping App • Previously • PwC – Oracle EBS Functional Consultant • Rb – Finance Manager • Lecturer – Accounting & Finance
Agenda • What is Accounting? • How AI will impact Accounting and Bookkeeping? • What Receipt Bot is doing using AI? • What technologies are available or becoming available? • Summary • Questions
AI in Accounting Receipt Bot Xero QuickBooks Sage Exact Recording Account Coding and Categorization Reporting and Queries, Analysis Compliance Reporting Summarising Power BI Sage Pegg Reconciliation Tax preparation and filing Forecasting Turbo Tax H&R Block Caseware TaxCalc
Receipt Bot • Paper sorting and recognition • Document Tagging • Data Entry • Categorisation • Duplication and missing documents checking
Accounting Coding & Categorisation • Xero for Revenue code prediction • Receipt Bot offers a similar feature on expenses • Auto-coding based on history • Other parameters if there is no historic data
Accounting Chat Bots • Sage’s Pegg • Hey Xero • Amazon Alexa or Apple Siri like chatbot. • Use the data in the accounting software for reporting • Easier for entrepreneurs to get answers for quick accounting questions.
Additional Areas • Reconciliations: only a matter of time, when SMB bank reconciliations are fully automated. • Customer Relationship Management: Practice Management and Customer Relationship Management applications. • Salesforce’s Einstein predicts potential sales or upsell opportunities based on client interactions. • Big Data availability provides analytics for companies.
Thank you
Applications of AI in Financial Content Writing [ KARACHI AI ] BY: ANIS SHEIKH (MS Comp. Sci)
Applications of AI in Financial Content Writing
Applications of AI in Financial Trading & Markets [ KARACHI AI ] BY: SAARAH RASHEED (B. Comp Finance)
ARTIFICIAL INTELLIGENCE IN FINANCIAL TRADING Saarah Rasheed Picture Credits: techcrunch
OUTLINE OF PRESENTATION Overview of Financial Trading Types of Analysis Let’s Make Some Signals! Success Stories Potential Problems for AI in Finance Potential Areas of Innovation QAs!
FINANCIAL TRADING Financial Trading is the practice of buying and selling financial securities or instruments to make profit, or at least, hoping to. A rational investor has an expectation of profit from his or her investment. The chance of not meeting that expectation results in risk. The variety of instruments traded adds up or reduces the risk associated with trading.
ANALYZING MEANS OF PROFITABILITY BASED ON DURATION • Long Term Trading • Short Term • High Frequency BASED ON ASSET CLASSES Portfolio Construction and Selection Portfolio Rebalancing
TYPES OF ANALYSIS There are two main schools of thoughts in the world of finance. • Those who believe in Random Walk Theory • And those who don’t. “ Past prices or trends of stock prices can not predict future prices or trends. ”
TYPES OF ANALYSIS TECHNICAL ANALYSIS • Short Term • Relying on historical prices solely. • Expecting profits through capital appreciation • Mitigating risk through off-setting investment FUNDAMENTAL ANALYSIS • Long Term • Taking into account the financials of the company • Expecting profits through capital appreciation and dividend/fixed income • Mitigating risk through diversification
TYPES OF ANALYSIS QUANTITATIVE ANALYSIS • Heavily relying on mathematical compositions to understand variation in instrument prices and quantifying the underlying factors. • Scary looking models to analyze portfolio models and risk. • Makes use of techniques from both fundamental and technical analysis
LET’S MAKE SIGNALS! Algorithmic Trading is an automated form of trading where on the basis of certain ‘buy’ or ‘sell’ signals, the computerized platform executes trades for you. Algorithmic trading can be performed either on small time frames (nanosecond as UHFT) or for large time frames (rebalancing bi- monthly, etc). Let us have a look at what these signals look like!
LET’S MAKE SIGNALS! A very simple and commonly used signal for algorithmic trading is Simple Moving Average or SMA. It is computed over a certain window say, of n periods, and computes average over a rolling period. By using SMA of two different windows, say x and y, where x > y, we can generate buy and sell signals for a particular stock in real time and have the platform execute sales on our behalf. Picture Credits: OnlineTradingConcepts
LET’S MAKE SIGNALS! Similarly, using mean and variance, and other statistical measures, signals can be constructed to predict immediate price changes and conduct buy- sell to generate profits. Some Indicators and Oscillators to know! • SMA-100 • SMA-50 • RSI • EMA • MACD • Stochastic Oscillators
WHERE DOES AI COME INTO PLAY? Wherever we deal with selection of stocks or instruments or rebalancing portfolio, or more generally, making a decision regarding our investment whether to buy, sell or hold a commodity is capable of being done through AI. Before we dive in to possibilities, let’s have a look at the problems regarding why financial data is a tough choice for predictions.
POTENTIAL PROBLEMS FOR AI IN FINANCE Financial Data is noisy! •Overfitting •Unstable Trends •Difficulty in extraction of ‘useful’ information
SUCCESS STORIES CASE STUDY: KAVOUT • Investing with the power of AI and quantitative analysis. • Smart Advisor • Predictive Ranking • AI Powered Charts
SUCCESS STORIES A comparison of AI managed funds vs. traditionally managed funds and their performance over the past few years. There are some interesting results! Picture Credits: Sigmoidal
SUCCESS STORIES CASE STUDY: QPLUM • Personal chatbot advisor • Algorithmic Trading • AI Managed Funds • Low Cost • Modern Quant
POTENTIAL OPPORTUNITIES FOR A.I. IN FINANCE If you are not directly forecasting prices, there is much more you can do with AI: • Building hedging strategies • Understanding variation and risk • Smart advisors • Lower cost models for investment In short, observe now to prepare for the future.
AREAS OF INNOVATION Given the access to abundance of data and advanced computational power available at our disposal, investments can be made more transparent, secure and robust through AI. Possible areas of innovations include: • Portfolio Construction and Rebalancing • Risk Analysis • Personal Banking and Chatbots • Trend Analysis
AREAS OF INNOVATION • Hedging • Algorithmic Trading • Augmented Analysis through Sentiment Analysis • Credit Scoring • Predictive Analytics And many more!
SKILLS YOU NEED If you are a finance graduate and are looking to shift to AI or learn and apply its technique, whether for research or to make a product, make sure that: 1. Math doesn’t scare you. (At the very least, have knowledge of linear algebra, matrices and vectors. For more advanced techniques, know calculus!) 2. Statistical and probabilistic measures are your thing. (At the very least know distributions. For more advanced techniques, know stochastic and random processes!) 3. Acquaintance with one programming platform. (Python, R, C#, C++, Java, MQL4) 4. You have an eye for opportunities, a self-driven motivation to unlearn and learn!
QUESTIONS AND ANSWERS Ask away! Picture Credits: techcrunch
Applications of AI in Financial Lending & Credit [ KARACHI AI ] BY: NAUREEN HYAT (CFA)
WHY AI?
Technological Advancement Artificial Intelligence Analytics Cloud Smartphones and smart devices Software Computing power Connectivity 1970 1980 1990 2000 2010 2020 2030 Era of connectivity and automation Era of digitalizationEra of post industrialization
The Exponential Growth 4 thousand terabytes data per day 2016 25 million terabytes data per day 2017 Number of connected device in 2010 8.4 billion Number of connected device in 2017 22.6 billion Source: Domo
What AI can do for FinTech? Recommendation Suggest something on user behavior Suggesting a financial product, guestimate income or savings level Goal Management and Budgeting Automation Perform a task based on user behavior Algorithm performs action on behalf of the user Investment management Prediction Predict an outcome based on user behavior Algorithm predict the occurrence of an event Lending Prevention Prevent an outcome based on user behavior Algorithm can identify suspicious activity or behavior AML, Identity fraud
Landscape in Pakistan Source: Planet N
One mobile application that aggregates financial services for the un-banked, under banked and millennial users Enabling them access to financial inclusion without any friction! TEZCOMMITTEE TEZADVANCE TEZBIMA TEZSARMAYA Draw them in through NANO-LOANS Interest them through community-led DIGITAL ROSCAS Provide protection via Life & Health INSURANCE Economically empower them via avenues of INVESTMENTS Tez Financial Services
AI in Tez Collecting and Structuring the Data Analyzing the Data Primary Purpose Know your customer
AI in Tez Reducing customer churn Secondary Purpose Up and cross sell financial products Customers segmentation
AI in Lending Suggestion Prediction Prevention
How a Limit is Created in Tez 1. Collecting Data 2. Identifying Pattern 3. Building Product Student Aptitude test Past Papers 3000 monthly expense IBA Intern at HBL Social Media Digital Data Financial Data Pages liked Interest Time spend Apps installed Data usage Battery usage Bank Balance Transactions Billing behavior Education Entertainment
With great data comes great responsibility
Thank you
• COLLABORATE ON INDUSTRY SPECIFIC GUIDANCE • SHARE YOUR PERSONAL CHALLENGE APPLYING AI • RECEIVE INSTANT FEEDBACK FROM PEERS • ENGAGE WITH FELLOW PRACTITIONERS AI CLINIC SESSION CHALLENGE SUBMISSION FACEBOOK.COM/KARACHIDOTAI [ KARACHI AI ]
LESSONS LEARNED IN Offline Experience
ANUM KAMRAN Founder Buyon.pk & PEC on Importance of AI in E-Commerce MEHSAM RAZA HEMANI Founder Karachi.AI on Intuition of Ecommerce with AI LESSONS LEARNED BY USAMA NOMAN Co-Founder Botsify on Botsifying E-Commerce
IMPORTANCE OF AI IN E-Commerce [ KARACHI AI ] BY: ANUM KAMRAN (Founder PEC)
BOTSIFYING E-Commerce [ KARACHI AI ] BY: USAMA NOMAN (MS Comp Sci)
By Usama Noman How Chatbot Can Improve Ecommerce Experience for Customers
What is a Chatbot?
Why Chatbots? 1- Business might be outsourcing their customer chats to a agencies which have pre-made scripts to answer from. 2- Or they have a small dedicated team to answer customer questions. Why not automate? Customers already talking to your customer support agents 24/7.
What if it fails? Or doesn’t answer a question correctly?
Get to know when your bot fails and takeover chat seamlessly
How it’s better than a human? 1- Tone! 2- Purchases right from facebook chat window. 3- Accurate. 4- Fast
Tone & Presentation 1. The way customer representative present your brand. 2. Emotions of customer representative. 3. The tone and the way he talks with your customers. 4. Training new customer agents.
Accurate Mistakes happen! But not very affordable in the ecommerce industry. Price accuracy, delivery commitments, package tracking, return policies. All play an important role in customer care.
Fast 1. Customer chat is slow! 2. You need a team of 20 customer support representative on a good weekend, but 2 on regular one. How do you scale this? 3. What is expense to make the responses faster?
Purchases from App Which is the one platform in the world with most customers? Facebook. Why not allow people to purchase produce while they are talking to your bot?
Future of ECommerce Experience
There is more! How many times you come across following situations? 1- Replying customers when they ask price in your facebook post. 2- Alerting users for their package delivery? 3- Gathering feedback from customer? 4- Abandoned cart recovery.
Abandoned Cart
Replying customers when they comment on your facebook post.
Alerting users for their package delivery?
Gathering feedback from customer?
How can I get one? 1- Sign up at botsify.com 2- Subscribe to your plan. 3- Create your bot 4- Launch 1- Help 2- Community 3- Youtube Channel 4- Email Support.
INTUITION OF AI IN E-Commerce [ KARACHI AI ] BY: MESUM RAZA HEMANI (ACCA, IBM Cert, Coursera Mentor)
Harnessing the power of AI in E-COMMERCE Presented By: - Mesum Raza Hemani
The promising potential of Pakistan & E-Commerce Our Presence and Position Our Progress and Achievements Our Bold Startups
Why we have gathered to talk about Artificial Intelligence?
The disruptive impact of AI..
Modes of Invasion for Artificial Intelligence AI Coordinators Synthesizers Companions Diagnosticians Transactors Cyborgs
What's the intuition of AI to Ecommerce? Bots & Virtual Assistant Computer Vision Recommender Monitoring Advance Analytics Anomaly Detection Natural Linguistics Voice Engine
Intuition of AI in Ecommerce Reviews & RatingsDetect Fake ReviewsReact and Resolve
What's the intuition of AI to Ecommerce? Improve discovery: •NLP Searching •Visual Searching •Voice Searching •Recommendations •Remind Purchases •Bot Best Friend
What's the intuition of AI to Ecommerce? Improve discovery: •NLP Searching •Visual Searching •Voice Searching •Recommendations •Remind Purchases •Bot Best Friend https://www.digitalcommerce360.com/2017/03/16/twiggle-unveils-search- technology-allows-online-retail-company-take-e-commerce-giants/
What's the intuition of AI to Ecommerce? Improve discovery: •NLP Searching •Visual Searching •Voice Searching •Recommendations •Remind Purchases •Bot Best Friend https://medium.com/@Pinterest_Engineering/introducing-a-new- way-to-visually-search-on-pinterest-67c8284b3684
What's the intuition of AI to Ecommerce? Improve discovery: •NLP Searching •Visual Searching •Voice Searching •Recommendations •Remind Purchases •Bot Best Friend https://techcrunch.com/2017/08/22/walmart-and-google- partner-on-voice-based-shopping/
What's the intuition of AI to Ecommerce? Improve discovery: •NLP Searching •Visual Searching •Voice Searching •Recommendations •Remind Purchases •Bot Best Friend https://www.popsci.com/amazon-view-history-improve- recommendations#page-4
What's the intuition of AI to Ecommerce? Improve discovery: •NLP Searching •Visual Searching •Voice Searching •Recommendations •Remind Purchases •Bot Best Friend https://medium.com/gobeyond-ai/5-benefits-of-cart- abandonment-notification-ad34abf968ae
What's the intuition of AI to Ecommerce? Improve discovery: •NLP Searching •Visual Searching •Voice Searching •Recommendations •Remind Purchases •Bot Best Friend https://futurism.com/ai-chatbot-meaningful-conversation/
What's the intuition of AI to Ecommerce? Recreate Experience: •Voice carting •Basketer Bot •Voice navigation •Personalize Shelf •Digital Recognition •Omni channel push
What's the intuition of AI to Ecommerce? Recreate Experience: •Voice carting •Basketer Bot •Voice navigation •Personalize Shelf •Digital Recognition •Omni channel push
What's the intuition of AI to Ecommerce? Recreate Experience: •Voice carting •Basketer Bot •Voice navigation •Personalize Shelf •Digital Recognition •Omni channel push
What's the intuition of AI to Ecommerce? Recreate Experience: •Voice carting •Basketer Bot •Voice navigation •Personalize Shelf •Digital Recognition •Omni channel push http://www.easyask.com/mcommerce
What's the intuition of AI to Ecommerce? Recreate Experience: •Voice carting •Basketer Bot •Voice navigation •Personalize Shelf •Digital Recognition •Omni channel push https://shelf.ai/
What's the intuition of AI to Ecommerce? Recreate Experience: •Voice carting •Basketer Bot •Voice navigation •Personalize Shelf •Digital Recognition •Omni channel push https://digiday.com/marketing/5-campaigns-used-facial- recognition-technology/
What's the intuition of AI to Ecommerce? Recreate Experience: •Voice carting •Basketer Bot •Voice navigation •Personalize Shelf •Digital Recognition •Omni channel push https://www.dynamicyield.com/personalization/
What's the intuition of AI to Ecommerce? Evolve Efficiency: •Predictive SCM •Enhanced insights •Automated Pricing •Crunch Feedback •Website Outlook
What's the intuition of AI to Ecommerce? Evolve Efficiency: •Predictive SCM •Enhanced insights •Automated Pricing •Crunch Feedback •Website Outlook If residents of Des Moines, Iowa, buy a lot of scarves in January, a local fulfillment center might fill up with a collection of scarves — but none would be shipped until an actual order is received at Amazon’s home-based shipping system. When an order is placed, the item would already be halfway to its destination, cutting delivery time to as little as one day. It could be even quicker, depending on the customer’s proximity to an Amazon distribution center. Prior Amazon activity, - Time on site - Duration of views - Links clicked/hovered - Shopping cart activity - & wish lists. http://www.predictiveanalyticsworld.com/patimes/amazo n-knows-what-you-want-before-you-buy-it/3185/
What's the intuition of AI to Ecommerce? Evolve Efficiency: •Predictive SCM •Enhanced insights •Automated Pricing •Crunch Feedback •Website Outlook https://www.salesforce.com/eu/products/einstein/overview/ https://www.thoughtspot.com/data-chief/5-ways-machine-learning-can-make-your-bi-better OUTLIER .AI
What's the intuition of AI to Ecommerce? Evolve Efficiency: •Predictive SCM •Enhanced insights •Automated Pricing •Crunch Feedback •Website Outlook http://www.personali.com/solutions/
What's the intuition of AI to Ecommerce? Evolve Efficiency: •Predictive SCM •Enhanced insights •Automated Pricing •Crunch Feedback •Website Outlook https://blog.nabler.com/customer-sentiment-analysis-a- crucial-need-in-e-commerce-data-initiatives/
What's the intuition of AI to Ecommerce? Evolve Efficiency: •Predictive SCM •Enhanced insights •Automated Pricing •Crunch Feedback •Website Outlook https://choice.ai/ https://onlinesales.ai/revx/
Heroes using the power of AI in E-COMMERCE Presented By: - Mesum Raza Hemani
Case Studies: What Amazon Does? Real-time Product Recommendations The e-commerce giant provides unique, personalized recommendations to each customer. This bestows a shopping experience in which the most relevant products are displayed as per the user’s choice and taste in real time. Style recommendations Amazon is taking certain special efforts to use AI to improve its marketing reach in the fashion industry. In April 2017, Amazon launched Echo Look, a voice- controlled, hands-free camera that uses a combination of human advice and machine learning to act as one’s personal stylist and is powered by Alexa. Alexa is amazon’s AI voice assistant. Catalog Quality Flaws in product catalog such as missing attributes of the brand, color, or poor quality of images can have a negative impact on the user experience. Amazon is using AI-driven analytics and machine learning to extract missing attribute information such as brand or color details from the product titles and images to keep their catalog clean & updated. Battling fake reviews Product reviews provide a great means to effective marketing. Customer reviews can influence the shopper’s decision in both ways. Since product reviews are considered extremely important on e-commerce websites, fake feedbacks and reviews can be posted to boost the product’s ratings and sale on the site. To check this malpractice of proliferation of fake reviews, Amazon released a machine-learning algorithm to selectively filter authentic online feedbacks and product reviews. Amazon also believes in its recommendation engine so much so that they intend on predictive deliveries to customers who are likely to buy certain items at certain times before they even order the product.
Case Studies: What Amazon Does? Real-time Product Recommendations - User’s demographics - Item’s Features - Users History - Item Popularity Style recommendations Number of factors, Amazon explains, including how the clothes fit, what colors look best on you, how they’re styled, and what’s on trend. Catalog Quality - Crowd Sourcing Corrections - Generate New Attributes based on Customer Prefab - Using Computer Vision to Detect Details - Encouraging strict Catalogue Quality Policy Battling fake reviews - Similar keywords in multiple reviews - Reviews that are too un-specifically positive (helpful) - Lots of reviews in a short time frame - Vine Customer Review of Free Product. What is required to do so? .. What are we missing? Or Lack of Innovation?
Case Studies: What EBAY Does? Shopbots and Shop the Room The innovative app is powered by AI-driven data analytics and can be accessed through the Facebook messenger platform as well. eBay ShopBot lets users interact with a chatbot using a text message, or through the speech, or an image. Shop the Room, allows the users to hover over products shown on each room image which is then followed by eBay displaying a similar product on a pop-up window. Image Search and Find It The company launched two apps – Image Search and Find It On eBay. Image Search is an app that matches a user’s photo of any item to visually comparable listings of over a billion products featured on the website. Alternatively, a user can use any photo on their social media account or from a web browser to search for similar products using Find It On eBay. Two out of six of eBay’s acquisitions in 2016 were companies that were built on AI-driven platforms namely Salespredict and Expertmaker. The company believes that the acquisitions’ predictive analytics and machine learning capabilities will help the company strengthen its structured data.
Case Studies: What EBAY Does? Shopbots and Shop the Room - Start Logging Customer Chats and Interactions - Look out for common flows of conversation and map it - Test a humanly walkthroughs | Try & Fail & Learn. Image Search and Find It - Use Computer Vision (DL) to Find Similar Images - Fast ranking with Latest Technology Stack - Envisioning Offline Retail Experience to map online What is required to do so? .. What are we missing? Or Lack of Innovation?
Case Studies: Indian market players? Ola Play Ola has been using AI & Analytics to battle the various attempts of fraud. The Ola driver community has gained a reputation for finding loop holes & hacks to meet their incentives or to simply just cheat the system – with the help of tech as well as support from authorities, Ola has been making great advancements in identifying & preventing such incidents. Myntra Artie- Online fashion retailer Myntra is using futuristic technologies like data analytics and artificial intelligence (AI) to help its designers leap ahead in the fashion scenario. The AI-fuelled tools help designers come up with fresh, trendsetting, patterns and styles that can attract buyers and boost sales for apparel makers. Zivame AI-driven product recommendations on a number of other channels to find and communicate the most relevant product to each customer. CaratLane Introduced the world’s first virtual 3D jewelry try-on app to address the customers’ concerns for a tactile, ‘look and feel’ experience before buying any product online. The app uses facial recognition and 3D imaging technologies to provide a virtual, yet a vividly realistic, try-on experience. Combining omni-channel personalized recommendations with tech that allows the users to get a good idea of how the products are likely to look and feel on them, Caratlane is likely to have a positive impact on how online jewlery shopping is perceived & consequently boost their customery satisfaction & sales. Indian Pakistani Markets are Similar to each other with both booming in E-Commerce
Case Studies: Indian market players? PayTm “Charumitra Pujari, chief technology officer, Paytm, revealed that “every pixel”—each icon, product row, column — on Paytm’s homepage is personalized and reordered differently for each of its 225 million users. She further explained that with AI as a foundation, the platform makes 20,000 recommendations per second—each of them in under 20 milliseconds. Furthermore, the platform also crafts promotions for the consistent buyers by putting machine learning to use. However, these promotions are created only when Paytm detects an intent to buy. Pujari quoted, “If you wanted to buy a ceiling fan, which is not promoted on (the) home page, once you started looking, in real time, we can pick up your request and kind of put together a promotion for you.” She further added, “If you’re just browsing, looking at ten different products, I won’t create the promotion. Additionally, Paytm is now beginning to offer lending services and credit cards to customers. But, to gauge how much a user can borrow, the company has employed machine learning again, “capturing signals from the mobile app to find out who you are and what credit you should be eligible for,” Pujari said. ”
Case Studies: Indian market players? ShoppersStop Major step towards the more innovative developments in AI at Shopper’s Stop, the e-commerce player has attempted the inception of Magic Mirror. The augmented reality-based dressing room – Magic Mirror – is an AI- powered intelligent photo-booth that allows the customers to select, view, and try-on the apparels and accessories virtually. This not only offers a hassle-free magical shopping experience to the customers, but assists them in matching and styling themselves, without having to match and try the products in real. With the recent steps that the company has taken in the field of data analytics, AI, and Machine Learning, the company aims to achieve a minimum 15% revenue through digital touch points and 10% sales through the online channels by 2020, as revealed by Govind Shrikhande, MD, Shopper’s Stop.
Case Studies: Indian market players? NearBuy Nearbuy, initiated the process of reaching out to each its customers through emails that contained the product recommendations relevant to their unique taste or preference. Each time a customer would click on a product, he would be re-directed to the corresponding offer page on the website. They achieved impressive results that could be quantified by the virtue of AI that was linked all through the process. Nearbuy observed an overall increase in the click-to-open-ratio (CTOR) by 35.7%, in response to the email notifications that were communicated to the customers. As a response to the app notifications, an overall increase of 51.6% was achieved in the revenue generated.
Case Studies: Indian market players? Flipkart Has unveiled Mira, an AI-based conversational search experience, which allows the firm to talk to its users as they look for the required products. Mira, guides and assists the consumers in shopping by suggesting the shopping ideas, offers, and recommendations relevant to them. Vikram Sharma, the Director of Product at Flipkart, elucidates, “We have machine learning based techniques to (predict) the content the customer is most likely going to click on, Based on the past history of consumer behavior, which the firm continues to collect throughout its decade-long presence in India, the AI-led techniques help the firm to identify various other detailed elements such as age, gender, geographical location, preferences, and trends to name a few. By further understanding the intricate details of each customer, the AI and ML powered algorithms trigger the right set of personalized product recommendations, which are then communicated to each unique customer effectively across different channels.”
Many more to learn from.. https://www.cbinsights.com/research/ai-retail-smart-shop-startups/
What's required to prepare for and utilize AI power? 1. Vision 2. Research 3. Data 4. Algorithms How to execute into AI?
1. Vision 2. Research 3. Data 4. Algorithms What's required to prepare for and utilize AI power? How to execute into AI?
1. Vision 2. Research 3. Data 4. Algorithms What's required to prepare for and utilize AI power? How to execute into AI?
How to execute into AI? 1. Vision 2. Research 3. Data 4. Algorithms What's required to prepare for and utilize AI power? NEW ASSETS ROA | RETURN ON ALGORITHM
Gracias! Connect with Me •LinkedIn @ • www.linkedin.com/in/mesumrazahemani •Email: •mesumraza786@Hotmail.com Thankyou
• COLLABORATE ON INDUSTRY SPECIFIC GUIDANCE • SHARE YOUR PERSONAL CHALLENGE APPLYING AI • RECEIVE INSTANT FEEDBACK FROM PEERS • ENGAGE WITH FELLOW PRACTITIONERS AI CLINIC SESSION CHALLENGE SUBMISSION FACEBOOK.COM/KARACHIDOTAI [ KARACHI AI ]
Artificial intelligence is all about technology, what we do is all about people. We want everyone to discover the possibilities of artificial intelligence and have access to tools and knowledge of applying it in business. We want the global influencers in the applied AI field to share their lessons learned so we can learn from the best. Ultimately, we want to enable more people to apply AI and to connect & collaborate in the field to leverage it's potential. PEER-TO-PEER NETWORKING CONNECT BASED ON DATA SCIENCE BRANCH MACHINE LEARNING NATURAL LANGUAGE PROCESSING COMPUTER VISION … ANY OTHER BRANCH FEEDBACK SUBMISSION FACEBOOK.COM/KARACHIDOTAI
WELCOME TO ENABLING EVERYONE TO APPLY ARTIFICIAL INTELLIGENCE IS AI AWARENESS YOUR NEXT GOAL? SEE YOU AGAIN NEXT TIME IN JUNE 2018 THANKS FOR JOINING! Event Highlights
WELCOME TO ENABLING EVERYONE TO APPLY ARTIFICIAL INTELLIGENCE IS AI AWARENESS YOUR NEXT GOAL? SEE YOU AGAIN NEXT TIME IN JUNE 2018 THANKS FOR JOINING! Event Co- Host Learning Photography Sponsors & Supporters Giveaways
WELCOME TO ENABLING EVERYONE TO APPLY ARTIFICIAL INTELLIGENCE Connect Us Facebook: KarachiDotAI LinkedIn: Karachi.AI IS AI AWARENESS YOUR NEXT GOAL? SEE YOU AGAIN NEXT TIME IN JUNE 2018 THANKS FOR JOINING! Learn with Us www.bit.ly/karachidotai Join Us Facebook Groups KarachiDotAI

More Related Content

PPTX
The Four Essentials Of Digital Cash Forecasting
byemagia
 
PDF
AI in Fintech - slides for plenary panel @ IJCAI-20
byUsama Fayyad
 
PDF
Business central AI Infographic
byEduardDziak
 
PDF
Artificial Intelligence in Finance
byJakubValnek
 
PPTX
[VFS 2019] AI in Finance
byNexus FrontierTech
 
PPTX
Trends and practical applications of AI/ML in Fin Tech industry - Milos Kosan...
byInstitute of Contemporary Sciences
 
PPTX
AI and ML Disruption in Finance
byGopi Suvanam
 
PDF
[Ai in finance] AI in regulatory compliance, risk management, and auditing
byNatalino Busa
 
The Four Essentials Of Digital Cash Forecasting
byemagia
 
AI in Fintech - slides for plenary panel @ IJCAI-20
byUsama Fayyad
 
Business central AI Infographic
byEduardDziak
 
Artificial Intelligence in Finance
byJakubValnek
 
[VFS 2019] AI in Finance
byNexus FrontierTech
 
Trends and practical applications of AI/ML in Fin Tech industry - Milos Kosan...
byInstitute of Contemporary Sciences
 
AI and ML Disruption in Finance
byGopi Suvanam
 
[Ai in finance] AI in regulatory compliance, risk management, and auditing
byNatalino Busa
 

What's hot

PDF
AI in Business - Impact and Possibility
byFirstAlign
 
PDF
AI-Finance-and Future of PV-SMC Final-10-18-16
byShaun Comfort
 
PDF
AI and the Financial Service Segment
byGraeme Wood
 
PPT
Machine Learning, Data Mining, and
bybutest
 
PPTX
World's Best Bank - The presentation
byRobin Speculand
 
PDF
AI in Fintech
byDr. Tathagat Varma
 
PPTX
BBS-248 Artificial Intelligence (AI) for Financial Services
byOzgur Karakaya
 
PDF
AI for Business - Finance Office
byFirstAlign
 
PDF
Fintech Overview and Growth Drivers
byRatnakar Pandey
 
PPTX
Marketers' Hopes and Fears for Artificial Intelligence
byDavid Berkowitz
 
PDF
Symposium 2018 - Conférence-vedette - Big data et collaboration : Appelle ton...
byPMI-Montréal
 
PDF
RChain Developer Conference pithia investments 04-2018
byLERNER Consulting
 
PDF
The science of client insight: Increase revenue through improved engagement
byIBM Analytics
 
PDF
Artificial intelligence in financial sector
byJacobsons Direct Marketing Services LLC.
 
PDF
Enterprise Artificial Intelligence strategy
byMukesh Sinha
 
PDF
Fintech
bySupportGCI
 
PPTX
What is FinTech- Technology in Finance
byMobcoder
 
PPTX
Artificial Intelligence (AI) for Financial Services
byNVIDIA
 
PPTX
Artificial Intelligence: a driver of innovation in the Banking Sector
byBig Data Value Association
 
PDF
AI USES IN FINTECH
byDucatus Global
 
AI in Business - Impact and Possibility
byFirstAlign
 
AI-Finance-and Future of PV-SMC Final-10-18-16
byShaun Comfort
 
AI and the Financial Service Segment
byGraeme Wood
 
Machine Learning, Data Mining, and
bybutest
 
World's Best Bank - The presentation
byRobin Speculand
 
AI in Fintech
byDr. Tathagat Varma
 
BBS-248 Artificial Intelligence (AI) for Financial Services
byOzgur Karakaya
 
AI for Business - Finance Office
byFirstAlign
 
Fintech Overview and Growth Drivers
byRatnakar Pandey
 
Marketers' Hopes and Fears for Artificial Intelligence
byDavid Berkowitz
 
Symposium 2018 - Conférence-vedette - Big data et collaboration : Appelle ton...
byPMI-Montréal
 
RChain Developer Conference pithia investments 04-2018
byLERNER Consulting
 
The science of client insight: Increase revenue through improved engagement
byIBM Analytics
 
Artificial intelligence in financial sector
byJacobsons Direct Marketing Services LLC.
 
Enterprise Artificial Intelligence strategy
byMukesh Sinha
 
Fintech
bySupportGCI
 
What is FinTech- Technology in Finance
byMobcoder
 
Artificial Intelligence (AI) for Financial Services
byNVIDIA
 
Artificial Intelligence: a driver of innovation in the Banking Sector
byBig Data Value Association
 
AI USES IN FINTECH
byDucatus Global
 

Similar to Karachi.AI Meetup # 2: Artificial Intelligence in Finance/Accounting and Disrupting E-Commerce with AI

PPTX
ICAN Western Zone AI & Emerging Technologies - Prof Oyedokun.pptx
byGodwin Emmanuel Oyedokun MBA MSc PhD FCA FCTI FCNA CFE FFAR
 
PPTX
The-Future-of-AI-Opportunities-and-Challenges
byOzias Rondon
 
PPTX
Artificial Intelligence in Business
byAjay Kumar
 
PPTX
1045 FINAL AI Panel deck.pptx v2.pptx yes
byAswinRivai2
 
PPTX
Understanding Artificial Intelligence: A Comprehensive Guide
bySyscraft Information System Pvt. Ltd.
 
PPTX
Dropshare 6.8.0 Crack for macOS Download
bybhattiaraz50
 
PPTX
Transformative Applications of Artificial Intelligence_ Real-Time Use Cases a...
byshashibss
 
PPTX
PresentationGFFC_CornellUniversityAI.pptx
byarnavnahar282k4
 
PPTX
What is artificial intelligence in simple words.pptx
byGalaxyonKnowledge San Diego
 
PDF
Bi PowerPoint Presentation Slides
bySlideTeam
 
PPTX
On importance of AI
byKritikaTiwari42
 
PDF
AI in Business: Opportunities & Challenges
byDr. Tathagat Varma
 
PDF
Technology Driven Process Powerpoint Presentation Slides
bySlideTeam
 
PDF
Business Analytics PowerPoint Presentation Slides
bySlideTeam
 
PPTX
1045 FINAL AI Panel deck.pptx v2.pptx
byDhanaraajDevelopers
 
PDF
Decoding the Future Unveiling AI and Its Operational Mechanics
byMarketing AI Software Developer
 
PDF
Technology Driven Process PowerPoint Presentation Slides
bySlideTeam
 
PDF
AI Powerpoint Presentation Slides
bySlideTeam
 
PPTX
Future of Artificial Intelligence Across Various Industries
byCrux Digits B.V.
 
DOCX
what is artificial intelligence,types how it works
byDipinGoyal2
 
ICAN Western Zone AI & Emerging Technologies - Prof Oyedokun.pptx
byGodwin Emmanuel Oyedokun MBA MSc PhD FCA FCTI FCNA CFE FFAR
 
The-Future-of-AI-Opportunities-and-Challenges
byOzias Rondon
 
Artificial Intelligence in Business
byAjay Kumar
 
1045 FINAL AI Panel deck.pptx v2.pptx yes
byAswinRivai2
 
Understanding Artificial Intelligence: A Comprehensive Guide
bySyscraft Information System Pvt. Ltd.
 
Dropshare 6.8.0 Crack for macOS Download
bybhattiaraz50
 
Transformative Applications of Artificial Intelligence_ Real-Time Use Cases a...
byshashibss
 
PresentationGFFC_CornellUniversityAI.pptx
byarnavnahar282k4
 
What is artificial intelligence in simple words.pptx
byGalaxyonKnowledge San Diego
 
Bi PowerPoint Presentation Slides
bySlideTeam
 
On importance of AI
byKritikaTiwari42
 
AI in Business: Opportunities & Challenges
byDr. Tathagat Varma
 
Technology Driven Process Powerpoint Presentation Slides
bySlideTeam
 
Business Analytics PowerPoint Presentation Slides
bySlideTeam
 
1045 FINAL AI Panel deck.pptx v2.pptx
byDhanaraajDevelopers
 
Decoding the Future Unveiling AI and Its Operational Mechanics
byMarketing AI Software Developer
 
Technology Driven Process PowerPoint Presentation Slides
bySlideTeam
 
AI Powerpoint Presentation Slides
bySlideTeam
 
Future of Artificial Intelligence Across Various Industries
byCrux Digits B.V.
 
what is artificial intelligence,types how it works
byDipinGoyal2
 

Recently uploaded

PDF
WCAG Analyzer Tools and Techniques for User-Friendly Websites
byAccessibility Analyzer
 
PDF
DevFest El Jadida 2025 - Product Thinking
byElmehdi AMLOU
 
PPTX
DYNAMICALLY.pptx good for the teachers or students to do seminars and for tea...
bympoorvika031
 
PPTX
Why Most GenAI Projects Fail to Scale and How to Become One of the Success St...
byEarley Information Science
 
PDF
The State of the Gen AI economy - 2025 - The Meliora Company
byClive Dickens
 
PDF
Exam Prep Plan Overview: Amazon Web Services (AWS) Certified
byVICTOR MAESTRE RAMIREZ
 
PPTX
UiPath Autonomous Agents | Building and Orchestrating Agents End-to-End
byUiPathCommunity
 
PDF
Data Virtualization in Action: Scaling APIs and Apps with FME
bySafe Software
 
PDF
Unlocking the Power of Salesforce Architecture: Frameworks for Effective Solu...
byvarsha30tiwari
 
PPTX
Software Analysis &Design ethiopia chap-2.pptx
byAbbas484771
 
PDF
Fundamentals and Frontiers of Post Quantum Cryptography
byGokul Alex
 
PDF
WHITE PAPER_ Ransomware Payment Policy and Resilience Strategy_ A Framework f...
byssuser0d171c
 
PPTX
Technology Consulting _ by Slidesgo.pptx
byfh82277
 
PPTX
Top _HR Technology Trends _for 2026_.pptx
byAutomationEdge Technologies
 
PPTX
Building Agents in Microsoft Agent Framework.pptx
byUdaiappa Ramachandran
 
PDF
10 Things AI-First Apps Do Differently by iProgrammer Solutions
byiProgrammer Solutions Private Limited
 
PDF
Cross-Cultural Agile Development -Challenges and Strategies for Overcoming Them-
byTakashi Makino
 
PDF
Security Forum Sessions from Houston 2025 Event
byMark Simos
 
PDF
Workshop on Sustaining & Growing Open Source Communities - GAS2025
bySammy Fung
 
PDF
Day 4 - Access, Deployments, and Monitoring - 2nd Sight Lab Cloud Security Class
by2nd Sight Lab
 
WCAG Analyzer Tools and Techniques for User-Friendly Websites
byAccessibility Analyzer
 
DevFest El Jadida 2025 - Product Thinking
byElmehdi AMLOU
 
DYNAMICALLY.pptx good for the teachers or students to do seminars and for tea...
bympoorvika031
 
Why Most GenAI Projects Fail to Scale and How to Become One of the Success St...
byEarley Information Science
 
The State of the Gen AI economy - 2025 - The Meliora Company
byClive Dickens
 
Exam Prep Plan Overview: Amazon Web Services (AWS) Certified
byVICTOR MAESTRE RAMIREZ
 
UiPath Autonomous Agents | Building and Orchestrating Agents End-to-End
byUiPathCommunity
 
Data Virtualization in Action: Scaling APIs and Apps with FME
bySafe Software
 
Unlocking the Power of Salesforce Architecture: Frameworks for Effective Solu...
byvarsha30tiwari
 
Software Analysis &Design ethiopia chap-2.pptx
byAbbas484771
 
Fundamentals and Frontiers of Post Quantum Cryptography
byGokul Alex
 
WHITE PAPER_ Ransomware Payment Policy and Resilience Strategy_ A Framework f...
byssuser0d171c
 
Technology Consulting _ by Slidesgo.pptx
byfh82277
 
Top _HR Technology Trends _for 2026_.pptx
byAutomationEdge Technologies
 
Building Agents in Microsoft Agent Framework.pptx
byUdaiappa Ramachandran
 
10 Things AI-First Apps Do Differently by iProgrammer Solutions
byiProgrammer Solutions Private Limited
 
Cross-Cultural Agile Development -Challenges and Strategies for Overcoming Them-
byTakashi Makino
 
Security Forum Sessions from Houston 2025 Event
byMark Simos
 
Workshop on Sustaining & Growing Open Source Communities - GAS2025
bySammy Fung
 
Day 4 - Access, Deployments, and Monitoring - 2nd Sight Lab Cloud Security Class
by2nd Sight Lab
 

Karachi.AI Meetup # 2: Artificial Intelligence in Finance/Accounting and Disrupting E-Commerce with AI

  • 2.
    WELCOME TO •MEETUP #: 2 • DATE: 31 – MAR – 2018 ENABLING EVERYONE TO APPLY ARTIFICIAL INTELLIGENCE
  • 3.
    WELCOME TO ENABLING EVERYONETO APPLY ARTIFICIAL INTELLIGENCE Event Co- Host THANKS TO OUR PARTNERS Learning Photography Sponsors & Supporters Giveaways
  • 4.
    ENABLING EVERYONE TOAPPLY ARTIFICIAL INTELLIGENCE A G E N D A Speaker Topic Time Slot Registration & Hi-Tea 30 Mins 6:00 PM KARACHI AI Mesum Hemani 05 Mins 6:35 PM Keynote Speaker Guest Speaker 10 Mins 6:45 PM Reciept Bot Irfan Sharif AI in Accounting (NC*) 10 Mins 6:55 PM Dante BaseH Anis A. Sheikh AI in Financial Reporting 20 Mins 7:15 PM Quants Society Sarah Rasheed AI in Financial Trading 20 Mins 7:35 PM Tez Financial Naureen Hyat AI in Financial Lending 20 Mins 7:55 PM Challenges with AI 8:00 PM Namaz Break 8:15 PM Key note - PEC Anum Kamran About PEC & Karachi.AI 10 Mins 8:25 PM Botsify Usama Noman Botsifying Ecommerce 20 Mins 8:45 PM AI in Ecommerce Mesum Hemani Intuition of AI in Ecommerce 30 Mins 9:15 PM Challenges with AI 9:20 PM ––––––– Closing Note ––––––– 9:30 PM Networking and Dinner 10:00 PM
  • 5.
    LOCAL QUARTERLY GATHERINGS EDUCATION ECOSYSTEMMAPPING WHO WE ARE ? APPLIED ARTIFICIAL INTELLIGENCE COMMUNITY
  • 6.
    1 5 MI N T A L K S B Y P E E R S O N L E S S O N S L E A R N E D A I C L I N I C F O R I N S T A N T C H A L L E N G E F E E D B A C K P E E R - T O - P E E R N E T W O R K I N G F O R R E L E V A N T E N G A G E M E N T S LOCAL COMMUNITY QUARTERLY GATHERINGS
  • 7.
    C O NT E N T O N L O C A L E C O S Y S T E M A C T I V I T I E S & P L A Y E R S C U R A T E D , I N T E R A C T I V E L I S T S O F E C O S Y S T E M A C T I V I T I E S & P L A Y E R S * S P E C I A L R E P O R T D E V E L O P M E N T O N G L O B A L C H A L L E N G E S A P P L Y I N G A I * ECOSYSTEM MAPPING
  • 8.
    Artificial intelligence isall about technology, what we do is all about people. We want everyone to discover the possibilities of artificial intelligence and have access to tools and knowledge of applying it in business. We want the global influencers in the applied AI field to share their lessons learned so we can learn from the best. Ultimately, we want to enable more people to apply AI and to connect & collaborate in the field to leverage it's potential. EDUCATION & AWARENESS C O N T E N T C U R A T I O N & D I S T R I B U T I O N O N A P P L I E D A I W O R K S H O P S E T U P & T R A I N I N G F A C I L I T A T I O N A R O U N D E V E N T S * P R O D U C T I O N O N L E S S O N S L E A R N E D & E D U C A T I O N A L R E S O U R C E S O N L I N E *
  • 9.
    LEVERAGING THE POTENTIALOF AI IN 50+ CITIES AFRICA Accra - Lagos ASIA Bangalore - Bangkok - Delhi - Hanoi - Hong Kong – Lahore – Karachi Jakarta - Kuala Lumpur - Pune - Seoul - Singapore - Taipei AUSTRALASIA Wellington EUROPE Amsterdam - Berlin - Bratislava - Brussels - Bucharest - Budapest - Cambridge - Cluj - Copenhagen - Delft - Geneva - Hamburg - Helsinki - Krakow - London - Madrid - Munich- Paris - Rome - Sofia - Stockholm - Tallinn - Tirana - Valencia -Valletta - Vienna - Zurich NORTH AMERICA Austin - LA - New York - San Diego - San Francisco SOUTH AMERICA Bogota - La Paz - Sao Paulo
  • 10.
    GUEST SPEAKER SHOAIB UL HAQ(AssistantProfessor, Karachi School of Business & Leadership) PhD in Business Administration
  • 11.
    Karachi AI 2.0 AIin Finance Shoaib Ul-Haq
  • 12.
  • 13.
    Overview of AI •What is AI? – “The ability of a machine to perform cognitive functions we associate with human minds” – Ex: Perceiving, reasoning, learning, problem solving • Goal of AI – Develop computer systems that exhibit intelligence or simulate the ability to think • AI pioneered by Computer Science • But, AI involves a combination of – Computer Science, Biology, Psychology, Linguistics, Mathematics, Engineering
  • 14.
    What really isIntelligence? • Specifically, what are the signs of Intelligent Behavior?
  • 15.
  • 16.
    AI revolution infinance • Explosion of interest in quantitative investing • Use high-speed computers and AI algorithms • Find out patterns which can be exploited by trading algorithms – Spot even transitory opportunities – Continuous research on new signals and data sets • Cost efficiency – Pressure on fees and margins
  • 17.
    Ron Kahn, Headof research at SAE “There is a lot of disruption going on in asset management. It may not be a great time to be a 50-year old asset manager but it is a great time to be a 28-year old with a lot of quantitative abilities”
  • 20.
  • 21.
    Gold in yellow,left axis; S&P in green
  • 22.
  • 23.
    IRFAN SHARIF Co-Founder ReceiptBot on Applications of AI in Accounting SARA RASHEED Quant @ Matrix Systems Pvt Ltd on Application of AI in Financial Trading LESSONS LEARNED BY ANIS SHEIKH Founder Base-H on Applications of AI in Content Writing NAUREEN HYAT Co-Founder Tez Financial Services on Applications of AI in Financial Lending
  • 24.
    Applications of AI inAccounting & Reconciliation [ KARACHI AI ] BY: IRFAN SHARIF (ACCA, Ex PwC)
  • 25.
  • 26.
    Irfan Sharif • Cofounderand COO Receipt Bot – AI Driven Bookkeeping App • Previously • PwC – Oracle EBS Functional Consultant • Rb – Finance Manager • Lecturer – Accounting & Finance
  • 27.
    Agenda • What isAccounting? • How AI will impact Accounting and Bookkeeping? • What Receipt Bot is doing using AI? • What technologies are available or becoming available? • Summary • Questions
  • 28.
    AI in Accounting ReceiptBot Xero QuickBooks Sage Exact Recording Account Coding and Categorization Reporting and Queries, Analysis Compliance Reporting Summarising Power BI Sage Pegg Reconciliation Tax preparation and filing Forecasting Turbo Tax H&R Block Caseware TaxCalc
  • 29.
    Receipt Bot • Papersorting and recognition • Document Tagging • Data Entry • Categorisation • Duplication and missing documents checking
  • 30.
    Accounting Coding &Categorisation • Xero for Revenue code prediction • Receipt Bot offers a similar feature on expenses • Auto-coding based on history • Other parameters if there is no historic data
  • 31.
    Accounting Chat Bots •Sage’s Pegg • Hey Xero • Amazon Alexa or Apple Siri like chatbot. • Use the data in the accounting software for reporting • Easier for entrepreneurs to get answers for quick accounting questions.
  • 32.
    Additional Areas • Reconciliations:only a matter of time, when SMB bank reconciliations are fully automated. • Customer Relationship Management: Practice Management and Customer Relationship Management applications. • Salesforce’s Einstein predicts potential sales or upsell opportunities based on client interactions. • Big Data availability provides analytics for companies.
  • 33.
  • 34.
    Applications of AI inFinancial Content Writing [ KARACHI AI ] BY: ANIS SHEIKH (MS Comp. Sci)
  • 35.
    Applications of AIin Financial Content Writing
  • 36.
    Applications of AI inFinancial Trading & Markets [ KARACHI AI ] BY: SAARAH RASHEED (B. Comp Finance)
  • 37.
    ARTIFICIAL INTELLIGENCE IN FINANCIALTRADING Saarah Rasheed Picture Credits: techcrunch
  • 38.
    OUTLINE OF PRESENTATION Overviewof Financial Trading Types of Analysis Let’s Make Some Signals! Success Stories Potential Problems for AI in Finance Potential Areas of Innovation QAs!
  • 39.
    FINANCIAL TRADING Financial Tradingis the practice of buying and selling financial securities or instruments to make profit, or at least, hoping to. A rational investor has an expectation of profit from his or her investment. The chance of not meeting that expectation results in risk. The variety of instruments traded adds up or reduces the risk associated with trading.
  • 40.
    ANALYZING MEANS OF PROFITABILITY BASEDON DURATION • Long Term Trading • Short Term • High Frequency BASED ON ASSET CLASSES Portfolio Construction and Selection Portfolio Rebalancing
  • 41.
    TYPES OF ANALYSIS Thereare two main schools of thoughts in the world of finance. • Those who believe in Random Walk Theory • And those who don’t. “ Past prices or trends of stock prices can not predict future prices or trends. ”
  • 42.
    TYPES OF ANALYSIS TECHNICALANALYSIS • Short Term • Relying on historical prices solely. • Expecting profits through capital appreciation • Mitigating risk through off-setting investment FUNDAMENTAL ANALYSIS • Long Term • Taking into account the financials of the company • Expecting profits through capital appreciation and dividend/fixed income • Mitigating risk through diversification
  • 43.
    TYPES OF ANALYSIS QUANTITATIVEANALYSIS • Heavily relying on mathematical compositions to understand variation in instrument prices and quantifying the underlying factors. • Scary looking models to analyze portfolio models and risk. • Makes use of techniques from both fundamental and technical analysis
  • 44.
    LET’S MAKE SIGNALS! AlgorithmicTrading is an automated form of trading where on the basis of certain ‘buy’ or ‘sell’ signals, the computerized platform executes trades for you. Algorithmic trading can be performed either on small time frames (nanosecond as UHFT) or for large time frames (rebalancing bi- monthly, etc). Let us have a look at what these signals look like!
  • 45.
    LET’S MAKE SIGNALS! A verysimple and commonly used signal for algorithmic trading is Simple Moving Average or SMA. It is computed over a certain window say, of n periods, and computes average over a rolling period. By using SMA of two different windows, say x and y, where x > y, we can generate buy and sell signals for a particular stock in real time and have the platform execute sales on our behalf. Picture Credits: OnlineTradingConcepts
  • 46.
    LET’S MAKE SIGNALS! Similarly,using mean and variance, and other statistical measures, signals can be constructed to predict immediate price changes and conduct buy- sell to generate profits. Some Indicators and Oscillators to know! • SMA-100 • SMA-50 • RSI • EMA • MACD • Stochastic Oscillators
  • 47.
    WHERE DOES AICOME INTO PLAY? Wherever we deal with selection of stocks or instruments or rebalancing portfolio, or more generally, making a decision regarding our investment whether to buy, sell or hold a commodity is capable of being done through AI. Before we dive in to possibilities, let’s have a look at the problems regarding why financial data is a tough choice for predictions.
  • 48.
    POTENTIAL PROBLEMS FOR AI IN FINANCE FinancialData is noisy! •Overfitting •Unstable Trends •Difficulty in extraction of ‘useful’ information
  • 49.
    SUCCESS STORIES CASE STUDY:KAVOUT • Investing with the power of AI and quantitative analysis. • Smart Advisor • Predictive Ranking • AI Powered Charts
  • 50.
    SUCCESS STORIES A comparison ofAI managed funds vs. traditionally managed funds and their performance over the past few years. There are some interesting results! Picture Credits: Sigmoidal
  • 51.
    SUCCESS STORIES CASE STUDY:QPLUM • Personal chatbot advisor • Algorithmic Trading • AI Managed Funds • Low Cost • Modern Quant
  • 52.
    POTENTIAL OPPORTUNITIES FOR A.I.IN FINANCE If you are not directly forecasting prices, there is much more you can do with AI: • Building hedging strategies • Understanding variation and risk • Smart advisors • Lower cost models for investment In short, observe now to prepare for the future.
  • 53.
    AREAS OF INNOVATION Giventhe access to abundance of data and advanced computational power available at our disposal, investments can be made more transparent, secure and robust through AI. Possible areas of innovations include: • Portfolio Construction and Rebalancing • Risk Analysis • Personal Banking and Chatbots • Trend Analysis
  • 54.
    AREAS OF INNOVATION •Hedging • Algorithmic Trading • Augmented Analysis through Sentiment Analysis • Credit Scoring • Predictive Analytics And many more!
  • 55.
    SKILLS YOU NEED Ifyou are a finance graduate and are looking to shift to AI or learn and apply its technique, whether for research or to make a product, make sure that: 1. Math doesn’t scare you. (At the very least, have knowledge of linear algebra, matrices and vectors. For more advanced techniques, know calculus!) 2. Statistical and probabilistic measures are your thing. (At the very least know distributions. For more advanced techniques, know stochastic and random processes!) 3. Acquaintance with one programming platform. (Python, R, C#, C++, Java, MQL4) 4. You have an eye for opportunities, a self-driven motivation to unlearn and learn!
  • 56.
    QUESTIONS AND ANSWERSAsk away! Picture Credits: techcrunch
  • 57.
    Applications of AI inFinancial Lending & Credit [ KARACHI AI ] BY: NAUREEN HYAT (CFA)
  • 58.
  • 59.
    Technological Advancement Artificial Intelligence Analytics Cloud Smartphonesand smart devices Software Computing power Connectivity 1970 1980 1990 2000 2010 2020 2030 Era of connectivity and automation Era of digitalizationEra of post industrialization
  • 60.
    The Exponential Growth 4thousand terabytes data per day 2016 25 million terabytes data per day 2017 Number of connected device in 2010 8.4 billion Number of connected device in 2017 22.6 billion Source: Domo
  • 61.
    What AI cando for FinTech? Recommendation Suggest something on user behavior Suggesting a financial product, guestimate income or savings level Goal Management and Budgeting Automation Perform a task based on user behavior Algorithm performs action on behalf of the user Investment management Prediction Predict an outcome based on user behavior Algorithm predict the occurrence of an event Lending Prevention Prevent an outcome based on user behavior Algorithm can identify suspicious activity or behavior AML, Identity fraud
  • 62.
  • 63.
    One mobile applicationthat aggregates financial services for the un-banked, under banked and millennial users Enabling them access to financial inclusion without any friction! TEZCOMMITTEE TEZADVANCE TEZBIMA TEZSARMAYA Draw them in through NANO-LOANS Interest them through community-led DIGITAL ROSCAS Provide protection via Life & Health INSURANCE Economically empower them via avenues of INVESTMENTS Tez Financial Services
  • 64.
    AI in Tez Collectingand Structuring the Data Analyzing the Data Primary Purpose Know your customer
  • 65.
    AI in Tez Reducing customerchurn Secondary Purpose Up and cross sell financial products Customers segmentation
  • 66.
  • 67.
    How a Limitis Created in Tez 1. Collecting Data 2. Identifying Pattern 3. Building Product Student Aptitude test Past Papers 3000 monthly expense IBA Intern at HBL Social Media Digital Data Financial Data Pages liked Interest Time spend Apps installed Data usage Battery usage Bank Balance Transactions Billing behavior Education Entertainment
  • 68.
    With great data comesgreat responsibility
  • 69.
  • 70.
    • COLLABORATE ONINDUSTRY SPECIFIC GUIDANCE • SHARE YOUR PERSONAL CHALLENGE APPLYING AI • RECEIVE INSTANT FEEDBACK FROM PEERS • ENGAGE WITH FELLOW PRACTITIONERS AI CLINIC SESSION CHALLENGE SUBMISSION FACEBOOK.COM/KARACHIDOTAI [ KARACHI AI ]
  • 71.
  • 72.
    ANUM KAMRAN Founder Buyon.pk& PEC on Importance of AI in E-Commerce MEHSAM RAZA HEMANI Founder Karachi.AI on Intuition of Ecommerce with AI LESSONS LEARNED BY USAMA NOMAN Co-Founder Botsify on Botsifying E-Commerce
  • 73.
    IMPORTANCE OF AI IN E-Commerce [KARACHI AI ] BY: ANUM KAMRAN (Founder PEC)
  • 74.
    BOTSIFYING E-Commerce [ KARACHI AI] BY: USAMA NOMAN (MS Comp Sci)
  • 75.
    By Usama Noman HowChatbot Can Improve Ecommerce Experience for Customers
  • 76.
    What is aChatbot?
  • 77.
    Why Chatbots? 1- Businessmight be outsourcing their customer chats to a agencies which have pre-made scripts to answer from. 2- Or they have a small dedicated team to answer customer questions. Why not automate? Customers already talking to your customer support agents 24/7.
  • 78.
    What if itfails? Or doesn’t answer a question correctly?
  • 79.
    Get to knowwhen your bot fails and takeover chat seamlessly
  • 81.
    How it’s betterthan a human? 1- Tone! 2- Purchases right from facebook chat window. 3- Accurate. 4- Fast
  • 82.
    Tone & Presentation 1.The way customer representative present your brand. 2. Emotions of customer representative. 3. The tone and the way he talks with your customers. 4. Training new customer agents.
  • 83.
    Accurate Mistakes happen! But notvery affordable in the ecommerce industry. Price accuracy, delivery commitments, package tracking, return policies. All play an important role in customer care.
  • 84.
    Fast 1. Customer chatis slow! 2. You need a team of 20 customer support representative on a good weekend, but 2 on regular one. How do you scale this? 3. What is expense to make the responses faster?
  • 85.
    Purchases from App Whichis the one platform in the world with most customers? Facebook. Why not allow people to purchase produce while they are talking to your bot?
  • 86.
  • 87.
    There is more! Howmany times you come across following situations? 1- Replying customers when they ask price in your facebook post. 2- Alerting users for their package delivery? 3- Gathering feedback from customer? 4- Abandoned cart recovery.
  • 88.
  • 90.
    Replying customers whenthey comment on your facebook post.
  • 91.
    Alerting users fortheir package delivery?
  • 92.
  • 93.
    How can Iget one? 1- Sign up at botsify.com 2- Subscribe to your plan. 3- Create your bot 4- Launch 1- Help 2- Community 3- Youtube Channel 4- Email Support.
  • 94.
    INTUITION OF AI IN E-Commerce [KARACHI AI ] BY: MESUM RAZA HEMANI (ACCA, IBM Cert, Coursera Mentor)
  • 95.
    Harnessing the power ofAI in E-COMMERCE Presented By: - Mesum Raza Hemani
  • 96.
    The promising potentialof Pakistan & E-Commerce Our Presence and Position Our Progress and Achievements Our Bold Startups
  • 97.
    Why we havegathered to talk about Artificial Intelligence?
  • 98.
  • 99.
    Modes of Invasionfor Artificial Intelligence AI Coordinators Synthesizers Companions Diagnosticians Transactors Cyborgs
  • 100.
    What's the intuitionof AI to Ecommerce? Bots & Virtual Assistant Computer Vision Recommender Monitoring Advance Analytics Anomaly Detection Natural Linguistics Voice Engine
  • 101.
    Intuition of AI in Ecommerce Reviews &RatingsDetect Fake ReviewsReact and Resolve
  • 102.
    What's the intuitionof AI to Ecommerce? Improve discovery: •NLP Searching •Visual Searching •Voice Searching •Recommendations •Remind Purchases •Bot Best Friend
  • 103.
    What's the intuitionof AI to Ecommerce? Improve discovery: •NLP Searching •Visual Searching •Voice Searching •Recommendations •Remind Purchases •Bot Best Friend https://www.digitalcommerce360.com/2017/03/16/twiggle-unveils-search- technology-allows-online-retail-company-take-e-commerce-giants/
  • 104.
    What's the intuitionof AI to Ecommerce? Improve discovery: •NLP Searching •Visual Searching •Voice Searching •Recommendations •Remind Purchases •Bot Best Friend https://medium.com/@Pinterest_Engineering/introducing-a-new- way-to-visually-search-on-pinterest-67c8284b3684
  • 105.
    What's the intuitionof AI to Ecommerce? Improve discovery: •NLP Searching •Visual Searching •Voice Searching •Recommendations •Remind Purchases •Bot Best Friend https://techcrunch.com/2017/08/22/walmart-and-google- partner-on-voice-based-shopping/
  • 106.
    What's the intuitionof AI to Ecommerce? Improve discovery: •NLP Searching •Visual Searching •Voice Searching •Recommendations •Remind Purchases •Bot Best Friend https://www.popsci.com/amazon-view-history-improve- recommendations#page-4
  • 107.
    What's the intuitionof AI to Ecommerce? Improve discovery: •NLP Searching •Visual Searching •Voice Searching •Recommendations •Remind Purchases •Bot Best Friend https://medium.com/gobeyond-ai/5-benefits-of-cart- abandonment-notification-ad34abf968ae
  • 108.
    What's the intuitionof AI to Ecommerce? Improve discovery: •NLP Searching •Visual Searching •Voice Searching •Recommendations •Remind Purchases •Bot Best Friend https://futurism.com/ai-chatbot-meaningful-conversation/
  • 109.
    What's the intuitionof AI to Ecommerce? Recreate Experience: •Voice carting •Basketer Bot •Voice navigation •Personalize Shelf •Digital Recognition •Omni channel push
  • 110.
    What's the intuitionof AI to Ecommerce? Recreate Experience: •Voice carting •Basketer Bot •Voice navigation •Personalize Shelf •Digital Recognition •Omni channel push
  • 111.
    What's the intuitionof AI to Ecommerce? Recreate Experience: •Voice carting •Basketer Bot •Voice navigation •Personalize Shelf •Digital Recognition •Omni channel push
  • 112.
    What's the intuitionof AI to Ecommerce? Recreate Experience: •Voice carting •Basketer Bot •Voice navigation •Personalize Shelf •Digital Recognition •Omni channel push http://www.easyask.com/mcommerce
  • 113.
    What's the intuitionof AI to Ecommerce? Recreate Experience: •Voice carting •Basketer Bot •Voice navigation •Personalize Shelf •Digital Recognition •Omni channel push https://shelf.ai/
  • 114.
    What's the intuitionof AI to Ecommerce? Recreate Experience: •Voice carting •Basketer Bot •Voice navigation •Personalize Shelf •Digital Recognition •Omni channel push https://digiday.com/marketing/5-campaigns-used-facial- recognition-technology/
  • 115.
    What's the intuitionof AI to Ecommerce? Recreate Experience: •Voice carting •Basketer Bot •Voice navigation •Personalize Shelf •Digital Recognition •Omni channel push https://www.dynamicyield.com/personalization/
  • 116.
    What's the intuitionof AI to Ecommerce? Evolve Efficiency: •Predictive SCM •Enhanced insights •Automated Pricing •Crunch Feedback •Website Outlook
  • 117.
    What's the intuitionof AI to Ecommerce? Evolve Efficiency: •Predictive SCM •Enhanced insights •Automated Pricing •Crunch Feedback •Website Outlook If residents of Des Moines, Iowa, buy a lot of scarves in January, a local fulfillment center might fill up with a collection of scarves — but none would be shipped until an actual order is received at Amazon’s home-based shipping system. When an order is placed, the item would already be halfway to its destination, cutting delivery time to as little as one day. It could be even quicker, depending on the customer’s proximity to an Amazon distribution center. Prior Amazon activity, - Time on site - Duration of views - Links clicked/hovered - Shopping cart activity - & wish lists. http://www.predictiveanalyticsworld.com/patimes/amazo n-knows-what-you-want-before-you-buy-it/3185/
  • 118.
    What's the intuitionof AI to Ecommerce? Evolve Efficiency: •Predictive SCM •Enhanced insights •Automated Pricing •Crunch Feedback •Website Outlook https://www.salesforce.com/eu/products/einstein/overview/ https://www.thoughtspot.com/data-chief/5-ways-machine-learning-can-make-your-bi-better OUTLIER .AI
  • 119.
    What's the intuitionof AI to Ecommerce? Evolve Efficiency: •Predictive SCM •Enhanced insights •Automated Pricing •Crunch Feedback •Website Outlook http://www.personali.com/solutions/
  • 120.
    What's the intuitionof AI to Ecommerce? Evolve Efficiency: •Predictive SCM •Enhanced insights •Automated Pricing •Crunch Feedback •Website Outlook https://blog.nabler.com/customer-sentiment-analysis-a- crucial-need-in-e-commerce-data-initiatives/
  • 121.
    What's the intuitionof AI to Ecommerce? Evolve Efficiency: •Predictive SCM •Enhanced insights •Automated Pricing •Crunch Feedback •Website Outlook https://choice.ai/ https://onlinesales.ai/revx/
  • 122.
    Heroes using the powerof AI in E-COMMERCE Presented By: - Mesum Raza Hemani
  • 123.
    Case Studies: WhatAmazon Does? Real-time Product Recommendations The e-commerce giant provides unique, personalized recommendations to each customer. This bestows a shopping experience in which the most relevant products are displayed as per the user’s choice and taste in real time. Style recommendations Amazon is taking certain special efforts to use AI to improve its marketing reach in the fashion industry. In April 2017, Amazon launched Echo Look, a voice- controlled, hands-free camera that uses a combination of human advice and machine learning to act as one’s personal stylist and is powered by Alexa. Alexa is amazon’s AI voice assistant. Catalog Quality Flaws in product catalog such as missing attributes of the brand, color, or poor quality of images can have a negative impact on the user experience. Amazon is using AI-driven analytics and machine learning to extract missing attribute information such as brand or color details from the product titles and images to keep their catalog clean & updated. Battling fake reviews Product reviews provide a great means to effective marketing. Customer reviews can influence the shopper’s decision in both ways. Since product reviews are considered extremely important on e-commerce websites, fake feedbacks and reviews can be posted to boost the product’s ratings and sale on the site. To check this malpractice of proliferation of fake reviews, Amazon released a machine-learning algorithm to selectively filter authentic online feedbacks and product reviews. Amazon also believes in its recommendation engine so much so that they intend on predictive deliveries to customers who are likely to buy certain items at certain times before they even order the product.
  • 124.
    Case Studies: WhatAmazon Does? Real-time Product Recommendations - User’s demographics - Item’s Features - Users History - Item Popularity Style recommendations Number of factors, Amazon explains, including how the clothes fit, what colors look best on you, how they’re styled, and what’s on trend. Catalog Quality - Crowd Sourcing Corrections - Generate New Attributes based on Customer Prefab - Using Computer Vision to Detect Details - Encouraging strict Catalogue Quality Policy Battling fake reviews - Similar keywords in multiple reviews - Reviews that are too un-specifically positive (helpful) - Lots of reviews in a short time frame - Vine Customer Review of Free Product. What is required to do so? .. What are we missing? Or Lack of Innovation?
  • 125.
    Case Studies: WhatEBAY Does? Shopbots and Shop the Room The innovative app is powered by AI-driven data analytics and can be accessed through the Facebook messenger platform as well. eBay ShopBot lets users interact with a chatbot using a text message, or through the speech, or an image. Shop the Room, allows the users to hover over products shown on each room image which is then followed by eBay displaying a similar product on a pop-up window. Image Search and Find It The company launched two apps – Image Search and Find It On eBay. Image Search is an app that matches a user’s photo of any item to visually comparable listings of over a billion products featured on the website. Alternatively, a user can use any photo on their social media account or from a web browser to search for similar products using Find It On eBay. Two out of six of eBay’s acquisitions in 2016 were companies that were built on AI-driven platforms namely Salespredict and Expertmaker. The company believes that the acquisitions’ predictive analytics and machine learning capabilities will help the company strengthen its structured data.
  • 126.
    Case Studies: WhatEBAY Does? Shopbots and Shop the Room - Start Logging Customer Chats and Interactions - Look out for common flows of conversation and map it - Test a humanly walkthroughs | Try & Fail & Learn. Image Search and Find It - Use Computer Vision (DL) to Find Similar Images - Fast ranking with Latest Technology Stack - Envisioning Offline Retail Experience to map online What is required to do so? .. What are we missing? Or Lack of Innovation?
  • 127.
    Case Studies: Indianmarket players? Ola Play Ola has been using AI & Analytics to battle the various attempts of fraud. The Ola driver community has gained a reputation for finding loop holes & hacks to meet their incentives or to simply just cheat the system – with the help of tech as well as support from authorities, Ola has been making great advancements in identifying & preventing such incidents. Myntra Artie- Online fashion retailer Myntra is using futuristic technologies like data analytics and artificial intelligence (AI) to help its designers leap ahead in the fashion scenario. The AI-fuelled tools help designers come up with fresh, trendsetting, patterns and styles that can attract buyers and boost sales for apparel makers. Zivame AI-driven product recommendations on a number of other channels to find and communicate the most relevant product to each customer. CaratLane Introduced the world’s first virtual 3D jewelry try-on app to address the customers’ concerns for a tactile, ‘look and feel’ experience before buying any product online. The app uses facial recognition and 3D imaging technologies to provide a virtual, yet a vividly realistic, try-on experience. Combining omni-channel personalized recommendations with tech that allows the users to get a good idea of how the products are likely to look and feel on them, Caratlane is likely to have a positive impact on how online jewlery shopping is perceived & consequently boost their customery satisfaction & sales. Indian Pakistani Markets are Similar to each other with both booming in E-Commerce
  • 128.
    Case Studies: Indianmarket players? PayTm “Charumitra Pujari, chief technology officer, Paytm, revealed that “every pixel”—each icon, product row, column — on Paytm’s homepage is personalized and reordered differently for each of its 225 million users. She further explained that with AI as a foundation, the platform makes 20,000 recommendations per second—each of them in under 20 milliseconds. Furthermore, the platform also crafts promotions for the consistent buyers by putting machine learning to use. However, these promotions are created only when Paytm detects an intent to buy. Pujari quoted, “If you wanted to buy a ceiling fan, which is not promoted on (the) home page, once you started looking, in real time, we can pick up your request and kind of put together a promotion for you.” She further added, “If you’re just browsing, looking at ten different products, I won’t create the promotion. Additionally, Paytm is now beginning to offer lending services and credit cards to customers. But, to gauge how much a user can borrow, the company has employed machine learning again, “capturing signals from the mobile app to find out who you are and what credit you should be eligible for,” Pujari said. ”
  • 129.
    Case Studies: Indianmarket players? ShoppersStop Major step towards the more innovative developments in AI at Shopper’s Stop, the e-commerce player has attempted the inception of Magic Mirror. The augmented reality-based dressing room – Magic Mirror – is an AI- powered intelligent photo-booth that allows the customers to select, view, and try-on the apparels and accessories virtually. This not only offers a hassle-free magical shopping experience to the customers, but assists them in matching and styling themselves, without having to match and try the products in real. With the recent steps that the company has taken in the field of data analytics, AI, and Machine Learning, the company aims to achieve a minimum 15% revenue through digital touch points and 10% sales through the online channels by 2020, as revealed by Govind Shrikhande, MD, Shopper’s Stop.
  • 130.
    Case Studies: Indianmarket players? NearBuy Nearbuy, initiated the process of reaching out to each its customers through emails that contained the product recommendations relevant to their unique taste or preference. Each time a customer would click on a product, he would be re-directed to the corresponding offer page on the website. They achieved impressive results that could be quantified by the virtue of AI that was linked all through the process. Nearbuy observed an overall increase in the click-to-open-ratio (CTOR) by 35.7%, in response to the email notifications that were communicated to the customers. As a response to the app notifications, an overall increase of 51.6% was achieved in the revenue generated.
  • 131.
    Case Studies: Indianmarket players? Flipkart Has unveiled Mira, an AI-based conversational search experience, which allows the firm to talk to its users as they look for the required products. Mira, guides and assists the consumers in shopping by suggesting the shopping ideas, offers, and recommendations relevant to them. Vikram Sharma, the Director of Product at Flipkart, elucidates, “We have machine learning based techniques to (predict) the content the customer is most likely going to click on, Based on the past history of consumer behavior, which the firm continues to collect throughout its decade-long presence in India, the AI-led techniques help the firm to identify various other detailed elements such as age, gender, geographical location, preferences, and trends to name a few. By further understanding the intricate details of each customer, the AI and ML powered algorithms trigger the right set of personalized product recommendations, which are then communicated to each unique customer effectively across different channels.”
  • 132.
  • 133.
    What's required toprepare for and utilize AI power? 1. Vision 2. Research 3. Data 4. Algorithms How to execute into AI?
  • 134.
    1. Vision 2. Research 3.Data 4. Algorithms What's required to prepare for and utilize AI power? How to execute into AI?
  • 135.
    1. Vision 2. Research 3.Data 4. Algorithms What's required to prepare for and utilize AI power? How to execute into AI?
  • 136.
    How to executeinto AI? 1. Vision 2. Research 3. Data 4. Algorithms What's required to prepare for and utilize AI power? NEW ASSETS ROA | RETURN ON ALGORITHM
  • 137.
    Gracias! Connect with Me •LinkedIn@ • www.linkedin.com/in/mesumrazahemani •Email: •mesumraza786@Hotmail.com Thankyou
  • 138.
    • COLLABORATE ONINDUSTRY SPECIFIC GUIDANCE • SHARE YOUR PERSONAL CHALLENGE APPLYING AI • RECEIVE INSTANT FEEDBACK FROM PEERS • ENGAGE WITH FELLOW PRACTITIONERS AI CLINIC SESSION CHALLENGE SUBMISSION FACEBOOK.COM/KARACHIDOTAI [ KARACHI AI ]
  • 139.
    Artificial intelligence isall about technology, what we do is all about people. We want everyone to discover the possibilities of artificial intelligence and have access to tools and knowledge of applying it in business. We want the global influencers in the applied AI field to share their lessons learned so we can learn from the best. Ultimately, we want to enable more people to apply AI and to connect & collaborate in the field to leverage it's potential. PEER-TO-PEER NETWORKING CONNECT BASED ON DATA SCIENCE BRANCH MACHINE LEARNING NATURAL LANGUAGE PROCESSING COMPUTER VISION … ANY OTHER BRANCH FEEDBACK SUBMISSION FACEBOOK.COM/KARACHIDOTAI
  • 140.
    WELCOME TO ENABLING EVERYONETO APPLY ARTIFICIAL INTELLIGENCE IS AI AWARENESS YOUR NEXT GOAL? SEE YOU AGAIN NEXT TIME IN JUNE 2018 THANKS FOR JOINING! Event Highlights
  • 141.
    WELCOME TO ENABLING EVERYONETO APPLY ARTIFICIAL INTELLIGENCE IS AI AWARENESS YOUR NEXT GOAL? SEE YOU AGAIN NEXT TIME IN JUNE 2018 THANKS FOR JOINING! Event Co- Host Learning Photography Sponsors & Supporters Giveaways
  • 142.
    WELCOME TO ENABLING EVERYONETO APPLY ARTIFICIAL INTELLIGENCE Connect Us Facebook: KarachiDotAI LinkedIn: Karachi.AI IS AI AWARENESS YOUR NEXT GOAL? SEE YOU AGAIN NEXT TIME IN JUNE 2018 THANKS FOR JOINING! Learn with Us www.bit.ly/karachidotai Join Us Facebook Groups KarachiDotAI

Editor's Notes

  • #2 Welcome to Karachi.AI. A platform to develop & nurture new roots of Applied Artificial Intelligence in Karachi. Lets enable every one to 4th Industrial Revolution.
  • #3 Welcome to Karachi.AI. A platform to develop & nurture new roots of Applied Artificial Intelligence in Karachi. Lets enable every one to 4th Industrial Revolution.
  • #110 Recommendation
  • #117 As a company your biggest concern is. 1- How your customer representative is talking to a human! 2- Emotions of customer representative. 3- The tone and the way he talks with your customers. 4- Training new customer agents.
  • #119 As a company your biggest concern is. 1- How your customer representative is talking to a human! 2- Emotions of customer representative. 3- The tone and the way he talks with your customers. 4- Training new customer agents.
  • #130 To change the image on this slide, select the picture and delete it. Then click the Pictures icon in the placeholder to insert your own image.
  • #157 To change the image on this slide, select the picture and delete it. Then click the Pictures icon in the placeholder to insert your own image.