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Killexams : IBM test prep - BingNews http://www.bing.com:80/news/search?q=IBM+test+prep&cc=us&format=RSS Search results Killexams : IBM test prep - BingNews http://www.bing.com:80/news/search?q=IBM+test+prep&cc=us&format=RSS https://killexams.com/exam_list/IBM Killexams : Meet Winners Of IBM SmartCamp 2015 Hyderabad Edition

IBM Global Entrepreneurship Program (GEP) has announced the winners for its SmartCamp Hyderabad edition.

The startups were judged by Jayesh Ranjan, IT Secretary to Telangana government, Srikanth Sundararajan, Partner at Helion Ventures, Srinivas Kollipara, COO of Telangana Startup Hub and Vineel Reddy, Founder of 50K Ventures.

Here are the startups that won the IBM SmartCamp 2015 Hyderabad edition:


storeongoStoreONGO.com: The startup aims to be the mobile first power listing platform for 20+ Mn businesses and
professionals with their products, offers and services, by delivering mobile presence for businesses.


freightbazaarFreightBazaar: An integrated e-transportation marketplace for truck users and suppliers. With this, truck users can publish their load availability, choose suitable truck supplier and e-confirm the truck hiring. While truck suppliers can respond by submitting quotations, update Trip status, along with online freight Payments and GPS tracking, which will be made available in future.


meltagMeltag: Meltag’s platform weaves seamless shopper engagement workflow by providing an omni-channel experience across Text (SMS), Voice (IVR/Missed Call), Twitter, FB, PoS and mobile apps. Meltag helps companies to segment, target and profile consumers by mapping and processing external research data.


trucksumoTruckSumo: The platform connects transportation service providers in real-time with SME’s who need their services using GPS technology. By reducing empty trips and waiting time, it helps increasing  revenue for driver.


gooseGoose Technologies Inc: The startup is a labelling and artwork management (LAM) solution provider. Goose has developed a world-class integrated technology platform for changing Pharma landscape called Harmony. Harmony automates entire label and artwork management collaboration process in real time by linking the checklist points directly to the regulatory guidelines, which are used to review regulatory guidelines around content, accuracy of dates and manufacturing details etc.

IBM SmartCamp 2015 is a startup challenge in which startups will pitch to IBM executives, VCs and government executives.

Global Entrepreneur Program was launched last year by IBM with an aim to provide comprehensive and strong network resources to drive collaborative cloud innovation for startups.

This time GEP is being hosted at nine different startup hotspots (cities) including Kochi, Hyderabad, Chennai, Visakhapatnam, Ahmedabad, Pune, Mumbai, Bangalore and Delhi, started from September 8, 2015.

Out of nine hotspots, IBM has already selected startups from two centers now. Prior to this, it had announced the winners for Kochi edition, around two weeks back.

After getting selected from all the nine cities, the startups will compete in regional finals that will be held in Mumbai, Delhi and Bangalore.

The event will culminate with a final showdown, wherein top six startups will pitch to eminent VCs (e.g. Nexus Ventures, Intel Ventures, Seedfund, Reservoir Ventures, Ravi Gururaj) in Bangalore.

Startups can apply for the program to the nearest city by filling this form.

[This article is part of a sponsored series by IBM SmartCamp]

Fri, 08 Jul 2022 12:00:00 -0500 en text/html https://inc42.com/buzz/ibm-smartcamp-2015-hyderabad-winners/
Killexams : Online Test Prep Startup MockBank Raises $400K From Blume Ventures & Other Angel Investors

Test preparation startup MockBank Learning Pvt. Ltd has raised $400K seed funding led by Blume Ventures.

Singapore-based angel fund Mercatus Capital and angel investors such as Amit Ranjan of Slideshare and Srivatsan Rajan of Bain & Co. also participated in the round.

MockBank plans to deploy the funds to strengthen technology, especially on the mobile front and generate more content.

As per facts, over 1.8 crore students takes competitive exams every year setting the global online learning market to reach $107 Bn this year. However, the Indian education market is estimated to grow $40 Bn by 2017.

According to company estimates, government jobs in India generates about 20 Mn to 40 Mn applications annually, thus making it a lucrative market.

MockBank was started by former Bain executive Konark Singhal, former IBM executive Manesh Jain and former Sify executive Ramesh Narayanan in 2013. It focuses on jobs related to banking including public sector banks and Reserve Bank of India, financial services and insurance sector.

The startup also plans to explore categories like civil services, engineering services, judicial services and teaching services for jobs.

The company claims to have about 100,000 users inclusive of 5,000 paid customers. It charges customers between $2(INR 150) to $90(INR 6,000) depending on the services.

The test prep market is heavily flooded with offline and online players. MockBank competes with offline test prep players like Mahendra’s Institute, Career Launcher and Career Power among others while the online test prep players have startups like Testbook, Toppr, Plancess, Embibe and Oliveboard.

According to Tracxn, at least 73 startups in online education segment has raised institutional capital this year. With Simplilearn that raised $28 Mn and Toppr, which raised $12.2 Mn as the top grosser, the online education market has seen a total of $63 Mn fundraise since 2014.

Welcome to Flash Feed, your essential source for breaking news and innovation from around the web – bite-sized and updated all day.

Sat, 25 Jun 2022 12:00:00 -0500 en text/html https://inc42.com/flash-feed/mockbank-seed-funding/
Killexams : How Congress, the USPTO and firms can fix 101 woes: in-house

Counsel at IBM, Novartis, BMS and three other companies say legislation is their best option now SCOTUS has declined to hear American Axle

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Rani reports on all aspects of IP in the US and the Americas, particularly trademarks and copyright. Based in New York, she covers in-house and private practice lawyers' concerns and insights into the market.

Fri, 08 Jul 2022 04:33:00 -0500 en text/html https://www.managingip.com/article/2abz4wh8cm8hhs4277474/how-congress-the-uspto-and-firms-can-fix-101-woes-in-house
Killexams : IIPMR offers Top 3 Certifications in Supply Chain and Market Research

India, 24th June 2022: Based out of Texas, USA, the International Institute for Procurement and Market Research (IIPMR) is offering 3 levels of Certifications in Supply Chain and 3 levels of Certifications in Market Research. IIPMRis the developer of globally recognized certifications in Supply Chain, Procurement and Market Research. All the certifications are online and the learning methodology consists of access to pre-recorded online lectures, downloadable study materials, case studies, practice test papers and online exam.

IIPMR has been a trusted learning partner forover12 years and has assistedprofessionals from more than 84 Countriesto successfully complete the certifications. Without any geographical restrictions, IIPMR on-boards leading senior leaders fromApple, Walmart, IBM, US Government, Coca-Cola, Procter & Gamble, Hewlett-Packard etc. who teach the aspirants. Over the years, IIPMR’s Top 3 Certifications have been globally recognized,highly respected and valued in the Supply Chain as well as the Market Research Industry.

Highlighting the benefits of the certifications,Mr. Rodney Griffith,Senior Director, IIPMR Membership Council, USA said,"Employers look at IIPMR Certifications in order to ascertain the quality of candidates they recruit. They treat it as a metric to make sure they are recruiting the right ones."

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The top 3 supply chain certifications offered by IIPMR are given below:

Level 1: Certified Supply Chain Associate (CSCA)

IIPMR CSCA Certification is the first level of Certification offered by IIPMR. Students aspiring to start their career in the supply chain industry are eligible to enroll for CSCA Certification.

Fee:US $500 or EUR 425 or CAD $665 or INR 25,000 (Including Online Exam)

Eligibility: Should have completed any Graduation or Post Graduation

Work Experience: Not Required

Duration: 1 Month

Level 2: Certified Supply Chain Specialist (CSCS)

IIPMR CSCS Certification is the second level of Certification that teaches all aspects of supply chain such as logistics, warehousing, inventory management, demand forecasting, purchasing, procurement, supply chain risk and quality management principles such as six sigma, kaizen and Kanban.

Professionals with CSCS Certification are in high demand since it is ranked #1 by United States Supply Chain Council (usscmc.com) and Supply Chain Council of European Union (scceu.org)

Fee:US $600 or EUR 510 or CAD $800 or INR 30,000 (Including Exam)

Eligibility: Graduate with minimum 1 year of relevant work experience

Duration: 2 Months

Level 3: Certified Procurement Professional (CPP)

IIPMR CPP Certification is the third and highest level of Certification offered by IIPMR. It provides a holistic view of supply chain but delves deeper in to Procurement, Strategic Sourcing and how to achieve cost savings.

The CPP Certification is ranked #1 by Procurement-Newz.com and top5certifications.com.

Candidates with CPP Certification are most sought after by recruiters for job roles such as Procurement Managers, VP Procurement, Chief Procurement Officer and Head of Supply Chain.

Fee:US $700 or EUR 595 or CAD $935 or INR 35,000 (Including Exam)

Eligibility: Graduate with minimum 3 years of relevant work experience

Duration: 3 Months

IIPMR also offers 3 levels of Market Research Certifications as given below:

Level 1: Certified Research Analyst (CRA):

IIPMR CRA Certification is the first level of Market Research course that is offered by IIPMR. It is done by students aspiring to enter the market research industry.

Fee:US $500 or EUR 425 or CAD $665 or INR 25,000 (Including Online Exam)

Eligibility: Should have completed any Graduation or Post Graduation

Work Experience: Not Required

Duration: 1 Month

Learning Methodology: Access to pre-recorded online lectures, downloadable study materials, case studies, practice test papers and online exam

Level 2: Certified Research Expert (CRE):

The second level of market research certification offered by IIPMR is called Certified Research Expert (CRE). It is typically done by Research Analysts aspiring to become Research Managers.

Fee:US $600 or EUR 510 or CAD $800 or INR 30,000 (Including Exam)

Eligibility: Graduate with minimum 1 year of relevant work experience

Duration: 2 Months

Learning Methodology: Access to pre-recorded online lectures, downloadable study materials, case studies, practice test papers and online exam

Level 3: Certified Research Professional (CRP)

IIPMR CRP Certification is the most valuable and highest level of market research certification offered by IIPMR. The CRP Certification is done by CEOs, Senior Market Research Managers, Director of Market Research, VP Research and Head of Market Research.

Fee:US $700 or EUR 595 or CAD $935 or INR 35,000 (Including Exam)

Eligibility: Graduate with minimum 3 year of relevant work experience

Duration: 3 Months

For more information visit: https://www.iipmr.com

Linkedin: https://www.linkedin.com/school/international-institute-for-procurement-and-market-research/?originalSubdomain=in

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Fri, 24 Jun 2022 01:40:00 -0500 en text/html https://www.hindustantimes.com/brand-stories/iipmr-offers-top-3-certifications-in-supply-chain-and-market-research-101656074712551.html
Killexams : 5 Digital Transformation Strategies to Excellerate the Air Travel Experience

Digital transformation continues to be a vital undertaking for airlines during this critical recovery period. According to International Air Transport Association (IATA), total industry losses between 2020 and 2022 are expected to reach $201 billion. As a result, airlines are increasingly leveraging technology to solve pain points for passengers and employees, not only to optimize their operations, but also to drive revenue and long-term growth.

With legacy systems to untangle, complex business processes to investigate and reorganize, and new technology to test, making that shift is easier said than done. In this environment, airlines are undertaking more coordinated efforts to make digital transformation a “way of life” through technology like cloud architecture, mobile apps, and artificial intelligence. The key to making this leap is understanding the central business challenges and then continuously refining the direction to target essential needs.

“One of the first questions I ask my airline customers is, ‘What is the root cause of any problems today, in the context of your people, processes, and technology?’” said John Szatkowski, IBM’s global offering leader for travel and transportation. “The value isn’t one specific piece of technology or app, it’s solving a critical problem that gives the airline a better foundation.”

Reinforce the “House Of Cards” With Scalable Cloud Solutions

Guiding an airline’s journey into modernization starts with understanding how existing systems are intertwined.

“Some of the major airlines we are working with have thousands of systems that need to be modernized, deprecated, lifted, and shifted as part of a ‘cloud transformation’ project — and we need to figure out what to do with them,” said Szatkowski. “The hardest part is that it’s often a tangled web of systems created over the years. There might be 20 systems related to a process. It’s like a house of cards.”

Transformation doesn’t mean starting over — it means reinforcing what’s already part of an airline’s technology stack and removing inefficiencies. It’s important not to go it alone. For example, Etihad Airlines recently partnered with IBM Cloud to produce a more seamless airport check-in. With 18 existing integration systems, 12 major systems for check-in, and 270 unique processes needing to be catered to, it was a complex migration.

In order to make all of this work, Etihad had to deploy a hybrid cloud strategy. Without the help of technology partners like IBM, the time to research, cost to test and learn, and speed to market would have been on a much longer timeline. In total, the team created the new solution on IBM Cloud in just 15 weeks.

“The technology and moving to the cloud are the easy parts,” said Szatkowski. “The hard parts are the project management, people, and process transformations. That’s where consulting comes into play.”

Leverage Partners to Transform Complex Problems

As organizations with multi-faceted operations, airlines need systems that easily connect to each other and allow employees to handle issues on the move.

For instance, timely flights and smooth passenger flow are critical factors for revenue growth. KLM recently undertook a project to Excellerate the aircraft turnaround experience for its ground-handling employees so they can access the information they needed easily in one place.

Working with an outside partner to assess the challenges and find a solution proved integral. Several ground crew members were invited to participate in a three-day IBM Design Thinking Workshop to discuss problems and solutions. While it sounds obvious to bring in end users and hear about their issues in the field, it’s not always common practice.

“There is nothing better than having the business team listen to their people talk, so we made a point to fly in the ground handlers,” said Erin McClennan, global design director for travel and transportation at IBM. “[Companies] often don’t realize the challenges their employees are facing, and there’s also palpable excitement when we co-create together.”

The workshop was “transformational,” McClennan added. By the end of the second day, the group had a mobile app design to help solve operational issues. By day three, participants received a beta version of the APPron mobile app, which integrates airline, cargo, operations and baggage data — putting the coordinators in control of turnaround.

“We can transform the way employees do their jobs because they have this amazing technology in their pockets,” said McClennan.

Connect Systems and Real-time Data for Optimized Operations

By using real-time data effectively, airlines can create connected cabins, improving turnaround times and the passenger experience.

“If a passenger tells a flight attendant that the IFE [in-flight entertainment] is not functioning, the flight attendant can capture that information mid-flight so the maintenance crew can fix it on the turn,” explained McClennan. “The next passenger doesn’t have the same complaint and the flight attendant doesn’t have to have that same difficult conversation — this kind of connecting of systems and real-time data transfer can have a real impact.”

Predictive maintenance is another area that can transform business operations in real time. McClennan and Szatkowski both agreed, however, that effectively implementing a predictive system falls on a spectrum. Needs vary widely from airline to airline depending on their people, processes, and technology mix.

For example, McClennan explained that many airlines are still relying on paper, and sometimes getting started on a path to “full-blown” predictive maintenance is as simple as modernizing systems to reduce paper usage. Others may be ready to build much more complex systems, such as a digital twin of an aircraft or engine that integrates operational, manufacturer, and IoT data sources — which take much longer to build.

“We are really focused on insights and process optimization, which is a consistent aspiration from client to client,” McClennan said. “We can help airlines wherever they are in the process — our focus is to help the client reach the ultimate goal, while still providing value at each step along the way.”

Improve Efficiency and Experiences With Artificial Intelligence

Airlines can harness the power of conversational AI for a variety of applications.

“[Chatbots are] about redirecting the transactional lower priority calls to automation and dynamically rerouting calls that have a higher priority to an agent,” said Szatkowski, adding that this type of service is ideal for airlines as they experience peaks and valleys of demand.

For example, AI-powered virtual agent IBM Watson (aka “Watson”) learns from customer interactions and knows when to search its knowledge base for answers, when to ask for clarity and when users should transfer to a human agent. According to a Forrester study commissioned by IBM, chatbot agents with Watson reduced handle time by 10 percent, and an analysis of four companies using the system reported an ROI of more than 300 percent.

In another instance, ANA partnered with IBM to bring customer feedback into a centralized, trackable system. Along with Salesforce Service Cloud, the airline brought together four global contact centers in the U.S. and Japan, providing complete, up-to-date customer views to enable better real-time service across communications channels. As part of the contact center, Watson Speech to Text visualizes customer conversations to help streamline information and enhance the insights gathered.

Power Personalized Interactions With Intelligent Data Systems

By using data intelligently to provide a 360-degree view of a passenger at any point on their journey, airlines can tailor proactive services to customers that will drive greater satisfaction and revenue growth.

ICAO (International Civil Aviation Organization) reported an estimated 25 percent to 29 percent decline in passengers in 2022 compared with 2019, but that’s now all starting to come back. As airlines compete ferociously to win back market share amidst spiking demand, their ability to understand customers’ changing expectations during this volatile time will be critical.

“We know so much about passengers, and I don’t think we’re using that data well,” said McClennan. “Data is now more easily connected, and there is a big opportunity to Excellerate passenger experience by putting it into the hands of more employees.”

Consider the journey-transforming scenarios such as the following: Automated recognition of a flight with an unusually high number of vegetarian passengers on board triggers a timely increased delivery of plant-based meal options. Or a push notification upon landing advises passengers on baggage carousel number and how to get there.

As an example of leveraging this data during the booking process, IBM partnered with Malaysia Airlines on a “Personalized Pricing and Offers” email ad campaign based on AI algorithms. Malaysia Airlines customers receiving these personalized recommendations made 34 percent more bookings than those who did not. The uptake was even higher (54 percent more) for business class customers.

These are only several examples of how the data airlines collect from their customers, with consent, can turn a pedestrian flight into an unforgettable experience.

Ultimately, there’s no one-size-fits-all solution for digital transformation. As airlines consider where they are on the path to digitize their operations, they might have any number of starting points and milestones across departments and disciplines. By working with technology partners who have seen use cases and understand the underlying systems required to solve issues common across large, complex, enterprise organizations, they can feel confident improving efficiency, profitability, and customer satisfaction.

For more information about IBM’s solutions for the travel and transportation industry, visit https://www.ibm.com/industries/travel-transportation.

This content was created collaboratively by IBM and Skift’s branded content studio, SkiftX.

Tue, 28 Jun 2022 12:00:00 -0500 en-US text/html https://skift.com/2022/06/29/5-digital-transformation-strategies-to-improve-the-air-travel-experience/
Killexams : IBM Acquires Observability Platform Databand.ai

IBM has announced the acquisition of data observability software vendor Databand.ai. Today’s announcement marks IBM’s fifth acquisition of 2022. The company says the acquisition “further strengthens IBM’s software portfolio across data, AI, and automation to address the full spectrum of observability and helps businesses ensure that trustworthy data is being put into the right hands of the right users at the right time.”

Data observability is an expanding sector in the big data market, spurred by explosive growth in the amount of data organizations are producing and managing. Data quality issues can arise with large volumes, and Gartner shows that poor data quality costs businesses $12.9 million a year on average.

“Data observability takes traditional data operations to the next level by using historical trends to compute statistics about data workloads and data pipelines directly at the source, determining if they are working, and pinpointing where any problems may exist,” said IBM in a press release. “When combined with a full stack observability strategy, it can help IT teams quickly surface and resolve issues from infrastructure and applications to data and machine learning systems.”

IBM says this acquisition will extend Databand.ai’s resources for expanding its observability capabilities for broader integration across more open source and commercial solutions, and enterprises will have flexibility in how they run Databand.ai, either with a subscription or as-a-Service.

IBM has made over 25 strategic acquisitions since Arvind Krishna took the helm as CEO in April 2020. The company mentions that Databand.ai will be used with IBM Observability by Instana APM, another observability acquisition, and IBM Watson Studio, its data science platform, to address the full spectrum of observability across IT operations. To provide a more complete view of a data platform, Databand.ai can alert data teams and engineers when data they are working with is incomplete or missing, while Instana can explain which application the missing data originates from and why the application service is failing.

A dashboard view of Databand.ai’s observability platform. Source: Databand.ai

“Our clients are data-driven enterprises who rely on high-quality, trustworthy data to power their mission-critical processes. When they don’t have access to the data they need in any given moment, their business can grind to a halt,” said Daniel Hernandez, General Manager for Data and AI, IBM. “With the addition of Databand.ai, IBM offers the most comprehensive set of observability capabilities for IT across applications, data and machine learning, and is continuing to provide our clients and partners with the technology they need to deliver trustworthy data and AI at scale.”

Databand.ai is headquartered in Tel Aviv, and its employees will join IBM’s Data and AI division to grow its portfolio of data and AI products, including Watson and IBM Cloud Pak for Data.

“You can’t protect what you can’t see, and when the data platform is ineffective, everyone is impacted –including customers,” said Josh Benamram, co-founder and CEO of Databand.ai. “That’s why global brands such as FanDuel, Agoda and Trax Retail already rely on Databand.ai to remove bad data surprises by detecting and resolving them before they create costly business impacts. Joining IBM will help us scale our software and significantly accelerate our ability to meet the evolving needs of enterprise clients.”

Related Items:

VCs Open Up the Checkbook for Observability Startups

Building Continuous Data Observability at the Infrastructure Layer

Data Quality Study Reveals Business Impacts of Bad Data

Wed, 06 Jul 2022 00:02:00 -0500 text/html https://www.datanami.com/2022/07/06/ibm-acquires-observability-platform-databand-ai/
Killexams : IDX Complete Review Tue, 12 Jul 2022 15:00:00 -0500 en text/html https://www.pcmag.com/reviews/idx-privacy Killexams : IBM’s Red Hat Taps Product and Technology Chief as New Leader

(Bloomberg) -- IBM’s Red Hat named Matt Hicks, head of products and technologies, as its new leader, solidifying a bet that hybrid-cloud offerings will fuel the company’s growth.

Most Read from Bloomberg

Hicks takes over as the software unit’s chief executive officer and president from Paul Cormier, who will serve as chairman. “Paul and I have planned this for a while,” Hicks said Tuesday in an interview. “There’ll be a lot of similarities in what I did yesterday and what I’ll be doing tomorrow.”

International Business Machine Corp. acquired Red Hat for about $34 billion in 2019 as a central component of Chief Executive Arvind Krishna’s plan to steer the century-old company into the fast-growing cloud-computing market. As a division, Red Hat’s has seen steady revenue growth near 20%, far outpacing IBM as a whole.

IBM hopes to distinguish itself in the crowded cloud market by targeting a hybrid model, which helps clients store and analyze information across their own data centers, private cloud services and servers run by major public providers such as Amazon.com Inc. and Microsoft Corp. IBM has been a rare pocket of stability in the accurate stock market meltdown. The shares have gained 4.1% this year, closing at $139.18 Tuesday in New York, compared with a 28% decline for the tech-heavy Nasdaq 100.

“Together, we can really lead a a new era of hybrid computing,” said Hicks, who joined Red Hat in 2006. “Red Hat has the technology expertise and open source model -- IBM has the reach.”

Hicks said demand for hybrid cloud and software services should remain strong despite questions about the global economic outlook, touting accurate deals with General Motors Co. and ABB Ltd. The telecommunication and automotive industries are two areas he is targeting for expansion because they require geographically distributed data.

Most Read from Bloomberg Businessweek

©2022 Bloomberg L.P.

Tue, 12 Jul 2022 10:40:00 -0500 en-US text/html https://finance.yahoo.com/news/ibm-red-hat-taps-product-213000469.html
Killexams : Wells Fargo prepares to take a quantum leap

Wells Fargo was introduced to quantum computing’s potential in 2019. At that time, the financial services company was exploring post-quantum cryptography and already had research relationships with academic institutions working on AI research.  When IBM started work on its quantum computing research network, Wells Fargo decided to explore the possibilities.

“As we started unpacking approaches to post-quantum cryptography and what quantum generally has to offer, it became obvious that there are potential use cases where you could apply quantum to do certain transactions in an exponentially more efficient way,” says Chintan Mehta, CIO for digital technology and innovation at Wells Fargo. The team also found problems in computer science that classical computers cannot solve in a reasonable amount of time that could potentially be solved using quantum techniques. “We saw a line of sight for solving mathematical problems which would be a big amplification of productivity,” Mehta recalls.

Today, Wells Fargo is working with the MIT–IBM research group to explore and test-drive mathematical computations using quantum. Among the experiments are new approaches to vector mathematics and generalized linear algebra. One example use case: Rapid re-calculation pricing for a large book of trades done in parallel and more efficiently using the quantum computing ecosystem.  Other use cases in the financial industry include leaning on quantum’s data modeling capabilities to handle the complex data structures on which fraud detection systems are built. Creaky fraud detection mechanisms partly contribute to weeks-long waiting periods for customers to be onboarded. Quantum is expected to shorten processing times dramatically.

Mehta emphasizes that Wells Fargo is focusing on the utilitarian aspects of quantum computing. “We are participating in quantum research to help validate use cases in the financial services industry that will benefit from quantum computing; we are not doing pure fundamental research, like how to build a physical quantum infrastructure for example,” he explains.

Quantum’s promise

Traditional computing is based on binary arithmetic, which transistors can easily handle. Conventional computers have made strides by cramming more transistors into ever-smaller integrated circuits.

Quantum computing upends the rules of the game by flexing something called a qubit (the quantum equivalent of a bit) which can adopt multiple states, not just the binary 0 or 1. The power of quantum systems grows exponentially, meaning that a theoretical 200-qubit system would be 2200 times as powerful as one with 100 qubits.

Quantum computers are thus able to take on problems that traditional computers simply don’t have the power to solve, such as those with complex multivariates based on probability and the modeling of what-if scenarios. This can help avoid problems like those created when driver-assistance apps suggest alternates to congested routes that then become the source of new traffic jams. Quantum-enabled traffic optimization avoids that problem by calculating all possibilities at once.

A large neural network, which is under the hood for many advanced computations across industries, depends on linear algebra calculations for training billions of nodes. “Quantum exponentially accelerates that,” Mehta says, “overall network build times go from days to minutes.”

Known unknowns

Despite quantum technology’s promise, one of the challenges of working with the technology is the many unknowns, Mehta says. “There’s still a huge gap between what we think quantum can do and what quantum can do today, especially when it comes to higher-order mathematical operations,” he says, “the stability of those operations, the expectation that humankind has around the repeatability of a computational construct is fundamentally missing from quantum today. You can run a computation multiple times and potentially get different answers each time.” That’s a source of some worry. “We’re in that space where the simulation has gone much further ahead than the actual physical quantum computer,” Mehta says.

The other unknown is whether the technology will pan out as predicted. Mehta contrasts quantum and artificial intelligence: “With AI we knew the technology works; the unknown was whether a user could be sure a specific model works in their enterprise landscape,” he says. “With quantum, the probability of failing is higher because you haven’t proven anything and there’s no common baseline against which to measure success.”

What would success look like for Wells Fargo? “It is going to be a case of milestones being hit as opposed to very specific outcomes,” Mehta says. “Can I do multiple simulations? Fourier transformations? Differential calculus? Milestones will measure when we move from very basic discrete math to more sophisticated [computations].”

The ultimate goal for Wells Fargo is “a strong library of mathematical capabilities that you can build a use case off of,” Mehta says.

Laying the groundwork

Because success in quantum computing is checking off a list systematically, Mehta advises companies to engage in a low-intensity but long-term program. “You cannot put all your discretionary spend on this, but do research consistently,” he advises. The payoff is huge but it could be a long time away.

451 Research analyst James Sanders also advises patience and playing the long game. Sanders, who is part of 451’s S&P Global Market Intelligence practice, says companies need to start building software now.

“Now is the time to start investigating what potential business problems your enterprise cannot solve today because of a lack of computing power,” Sanders says. “It’s time to dust those off the shelf and ask if these problems can be handled through quantum computing.”

That landscape assessment process is the first in a five-stage set of recommendations from technology consulting firm Capgemini on how organizations can prepare for the quantum advantage. “Assessment is a critical part of it; you need to engage data scientists and business experts to identify the problems in your industry and in your organization that cannot be solved with traditional computers and that have the potential of being solved with quantum computing,” says Satya Sachdeva, vice president of insights and data at Sogeti, part of Capgemini.

Among the firm’s other recommendations: build a small team of experts; translate the most potent use cases to small-scale quantum experiments; strike long-term partnerships with technology providers to overcome technical obstacles; and develop a long-term strategy to scale up the skills base.

Enterprises looking to get started have plenty of options, says Lian Jye Su, principal analyst at global technology intelligence firm ABI Research. “Public cloud players such as Alibaba, Amazon, Google, and IBM offer researchers services to remotely run quantum programs and experiments,” Su says. Developers can now build quantum applications using IBM’s Qiskit, Google’s Cirq, Amazon Braket, and others, which are “open-source libraries designed for optimization of quantum circuits for quantum-classical or quantum-only applications, including machine learning,” Su said. “All these services are available online.”

Early mover advantage

While experts expect quantum and classical computing to coexist long into the future with certain processes offloaded to quantum and then looped back into conventional processing, the time is now for enterprises to dive in, Sachdeva says. “It’ll be an early mover advantage and if you delay that advantage will be lost,” he says.

As for Wells Fargo, it is keeping its quantum program on a slow burn. Mehta says CIOs have to keep all advanced research projects going at the same time. “You still need to continue to Excellerate your other non-quantum capabilities, whether it’s cloud-based specialized infrastructure or other technologies, in parallel,” Mehta says. “At some point when quantum materializes and the [computing capabilities] converge, it’s going to be extremely disruptive in a positive way.”

Now is the time to prepare for that disruption as Wells Fargo is doing.

“We believe that quantum is at a stage where classical computing was 30 to 40 years ago,” Mehta says. “That said, it will evolve much faster than anything we have seen before. Not engaging is not an option. This will be the defining technology for the future.”

Fri, 17 Jun 2022 15:45:00 -0500 Author: Poornima Apte en-US text/html https://www.cio.com/article/400745/wells-fargo-prepares-to-take-a-quantum-leap.html
Killexams : Industry leaders announce coalition to fight bias in adtech

A year ago, IBM Watson Advertising launched a research initiative to understand and mitigate unintended bias in digital advertising using artificial intelligence. In January 2022 the results of that research revealed that, while unwanted bias in advertising is prevalent, AI can be used as an effective tool to alleviate it.

Now, in an effort to rally industry participation around the issue, IBM is joining forces with an industry coalition of leaders to pledge their commitment to generating awareness around the issue — and driving action.

At the Cannes Lions Festival of International Creativity on Monday (June 20), IBM announced that Delta Air Lines, WPP, The 4A’s, the IAB and The Ad Council have pledged their support to mitigate bias in advertising, recognising it as an industry-wide issue.

“I don’t think any of us should be precious about DEIB. We all need to share our learnings and make sure we’re driving change across the industry,” Marla Kaplowitz, CEO and president of the 4A’s, told Campaign US. “The pledge is a way to not only acknowledge that bias exists, but also that we are going to work as much as we can to unearth bias, talk to clients about it, and while we’ll never fully eradicate it, make sure we’re aware of biases and try to reduce them.”

IBM also released a free Advertising Toolkit for AI Fairness 360, an open-sourced product that includes 75 “fairness” metrics and 13 ready-made algorithms and sample code to help companies identify bias in digital ads.

WPP-owned media agency Mindshare has been using the toolkit in three areas: locating bias in existing audience strategies, mitigating bias in data science applications and validating that curtailing bias has an impact on business outcomes, said Brian DeCicco, U.S. chief data strategy and analytics officer at Mindshare.

“If we can execute campaigns with bias mitigation strategies in place, can we prove that fairness and performance can coexist?” he said. “Can we not only demonstrate [that eliminating bias] doesn’t negatively impact campaigns, but that it actually will also drive greater outcomes in the long term?”

One common practice at high risk for bias that Mindshare has been examining, for instance, is using historical data to create audience segments and predict future outcomes.

“If there is inherent bias in those datasets — if they skew toward one population vs. another — those biases can be perpetuated in modeling, and then you have humans injecting their own biases into the data science process,” DeCicco said.

IBM’s initial research into bias, released in January, was based on a test on The Ad Council’s “It’s Up To You” vaccine education awareness campaign that analyzed 10 million impressions over 108 creative variations to uncover biases. According to a white paper IBM released on the study, the AI found biases in the campaign against people with lower levels of education.

For now, IBM’s research and algorithms focus on age and gender bias as proxy characteristics. But as more industry players join the cause, it hopes to expand its research and tools to all forms of bias.

Tue, 21 Jun 2022 10:22:00 -0500 text/html https://www.campaignasia.com/article/industry-leaders-announce-coalition-to-fight-bias-in-adtech/478762
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