Burnish Your Brand, Using Your Best Talents More Often

first_imgWherever you go, whatever you do, the most effective tool you bring with you is the brand called “You.” My brand, cultivated over time, reflects my vision and passion of being an agent of change leading innovation in the corporate world. For me, this involves helping others find their unique gifts and then orchestrating the sharing of those talents to innovate new ways to contribute to the organization’s success. These collaborative efforts provide personal growth, development, and meaningfulness for us as individuals as well. Truly, this is a winning combination in a competitive global world.Many leaders from different industries have tied their brand to ground-breaking innovations. I personally admire, and strive to emulate, those who have paid it forward, setting the stage for the next generation of leaders and innovators. When preparing for a recent keynote at USENIX, I took the opportunity to showcase women leaders who transformed their respective industries. Part of my message was highlighting how, in this increasingly connected world, we still need to depend on others to achieve success and meaning in life.Kay Koplovitz, founder of USA Network, was the visionary who conceptualized satellite-based networks. She also created the business model for cable networks by introducing the concept of two revenue streams—licensing and advertising. When she founded USA Network under the banner of Madison Square Garden Sports in 1977, she was the first woman to head a television network. But she didn’t stop there. Understanding that access to startup capital has consistently been cited as the biggest pain point for female entrepreneurs, she founded venture-catalyst Springboard Enterprises to help women build ”big businesses starting small.”  Over 500 women-led companies have participated in Springboard’s accelerator programs, raising nearly $6 billion. Of note, more than 80% of Springboard companies are still in business as independent or merged entities, including 10 IPOs, and many are the technology engines of publicly traded companies.Astronaut Sally Ride, the first American woman in space, also founded Sally Ride Science and Sally Ride Science Camps to encourage girls’ interest in science and technology. The girls, who are at the middle-school level, participate in innovative, hands-on science learning activities in an environment designed to be supportive, enriching, and—most importantly—fun!Following Dr. Ride’s footsteps, Dr. Mae Jemison became the first African-American woman to travel in space in 1992. She resigned from NASA in 1993 to form a company researching the application of technology to daily life: 100 Year Starship. The organization designs and implements independent, collaborative, and open-source projects to advance and promote the public engagement, research, development, and capabilities needed for humans to reach another star.Another woman who has had an impact on an entire country and the global startup community is Dr. Orna Berry. Prior to joining EMC as the first Corporate VP and GM of the Israel Center of Excellence, Dr. Berry was the Chief Scientist in Israel’s Ministry of Industry, Trade, and Labor. One of her strengths is bringing together communities of leaders and innovators to identify a gap in a market, and then racing to identify a solution.Combining technology and social entrepreneurship, Juliana Rotich founded Ushahidi, which means “testimony” in Swahili. This platform was initially developed to map reports of violence in Kenya after the post-election fallout at the beginning of 2008. Since then, the name “Ushahidi” has come to represent the people behind the “Ushahidi Platform” web tools for crowdsourcing crisis information and reporting on topics related to the environment.Each of these women was a pioneer in her own field, and each used her success to help others. All have a global perspective and consistently reach outside their normal sphere of influence. In taking these leadership lessons to heart, you should note that it’s important to first figure out what you care about most, tie your brand to your vision, and remember that success is not only about the body of work you deliver, but the impact you can have on your community and beyond. Reach for your true dreams and goals and don’t be afraid to innovate. Goals are the starting point to taking action, building a plan, realizing your brand, and using your best talents more often.last_img read more

CMO vs. CIO – a tale of two firms

first_imgThe infinite loop of historyWhen I was starting out in the IT industry, the majority of enterprises were reliant on mainframes for their processing power. These got disrupted when line-of-business users started buying applications – with their own mini-servers – to achieve things faster and cheaper (they believed) than IT would let them do. Boardrooms and the press were rife with comments like “IT doesn’t have the skills to stay relevant” and “the mainframe is dead”. Sounds familiar?For a while, these businesses managed just fine, keeping customers happy and costs down. But after around two or so years, many of them threw up their hands and declared the whole exercise – of managing operations, upgrades, fixes, and service levels – simply too hard. Then they threw it back to IT…whom having been left by the wayside, had neither the relevant skills nor talent in place.I suspect the same thing will happen with the current mass migration to SaaS by marketing and other lines of business. When it does, IT will struggle even more because SaaS – unlike mini-servers – lacks the heuristics (from diagnostic consoles to physical cables) that can help you spot and troubleshoot potential issues. If CIOs aren’t careful, they’ll see their teams forced to focus on “break-fixing” with minimal insight into how those breaks occurred in the first place.What can CIOs do? The timeframe for doing like the first business and proactively leading a digital strategy is more or less over. Most Australian enterprises already have a digital strategy; in Asia, where enterprise digital adoption is typically slower, CIOs may have a few months’ window to take the lead. The best thing that CIOs can do now is to start building up the right ROI focus and skillsets to deal with SaaS – and put in place replacement solutions, like hybrid cloud – for when their technical abilities come back in vogue. Is the CMO the new CIO when it comes to IT purchasing decisions? Let’s take a look at two businesses (real examples that I’ve worked with) in the same industry. Both businesses have experienced massive digital disruption. Both were able to quickly adopt successful digital strategies that enhanced their offerings and sales channels, turning them into web-driven businesses without compromising on the quality of their traditional, physical products.The main difference? One had the CIO lead its digital strategy. In the other, the role of CIO no longer exists.In the first business, the CIO recognised that digital was going to supersede old IT models whether she liked it or not. She pre-empted the wave of change by devising a digital strategy that combined her technical expertise with best practices in e-commerce, online marketing, and data that she and her team had to teach themselves. Her strategy acknowledged and defined the impact that IT could have on business outcomes, rather than framing IT as a cost centre like most CIOs inadvertently do. As a result of her taking the first leap, the business gave her full command over implementing that digital strategy as part of her overall IT portfolio.In the second business, the CIO didn’t act as fast. Digital quickly became the portfolio of the CMO, who’s in charge of a Chief Digital Officer (or CDO), who’s in charge of…the IT manager. In other words, IT has become a subset of marketing. And CMOs are expected to only account for 10% of IT spending this year: IT may soon find itself also a subset of finance, sales, HR, and all manner of other lines of business.What’s wrong this picture? Nothing…for now. I’ve seen CMOs increasingly hiring IT people to staff their marketing teams because they recognise the need for deep technical skills to make digital work. And for the most part, they’re succeeding in developing and executing great campaigns that (unlike traditional IT) directly map to value generation and KPIs for the business. But history suggests these CMOs, and other line-of-business heads taking responsibility for IT spend, could be in for a bumpy ride.last_img read more

Realize Digital Transformation from the Edge to the Core with SAP Leonardo and Dell EMC

first_img“The biggest threat to innovation is internal politics and an organizational culture, which does not accept failure and/or doesn’t accept ideas from outside, and/or cannot change.”—(Source: Gartner, Innovation Survey, July 2017)The Internet of Things (IoT) began moving toward mainstream adoption in 2016 for many industries, according to the findings of a survey by Gartner. The number of organizations adopting IoT grown 50 percent in 2016, reaching 43 percent of organizations overall. In total, 64 percent of organizations plan to eventually implement IoT.First SAP-certified IoT Edge DeviceTogether with the SAP IoT Team, and now with the new SAP Leonardo Team, Dell EMC is bringing both worlds together to introduce the first SAP-certified Dell EMC Leonardo IoT Gateway Edge Device at SAP Leonardo Live this week in Frankfurt, Germany.  SAP Leonardo is the newest digital innovation system by SAP offering design thinking methodology to help customers rapidly develop new capabilities and accelerate their digital transformation.Combining the Leonardo-certified Dell IoT Gateway with SAP Solutions, our joint customers are now able to integrate IoT Edge devices in minutes, not hours or days, and allows them to quickly design and deploy new business models. SAP Leonardo Edge PlatformDell EMC chose the SAP Leonardo Edge Platform because it offers a complete range of solutions to connect things with people and then process the information with real-time intelligence. The deployment of Edge Services is the Edge Platform component of the SAP Cloud Platform, a software package that extends the SAP Cloud Platform to the edge and provides services like:support for a wide variety of IoT protocol adaptersnative integration with SAP Cloud Platform and SAP backend systems like SAP S/4HANAdeployment and lifecycle management for edge servicessecure communication channels and isolationBecause this edge platform software stack can be deployed on the physical gateway or in the cloud. Functionality provided by the services can be made available where it is most suitable for the customers. This Edge Platform is implemented in java and extends the standardized OSGI platform which allows for deployment on virtually any hardware and operating system.SAP Leonardo – IoT Gateway Edge CertificationThe IoT service connects devices to the SAP Cloud Platform to provide scalable incorporation of IoT data and device management. The corresponding services provide a secure connection to remote devices using a broad range of IoT protocols and manage the device lifecycle from onboarding to decommissioning.The service collects and processes sensor data at scale already at the edge or in the cloud and stores it on the SAP Cloud Platform for use by other applications. Moreover, the service provides a multi-tenant architecture allowing role-based access to device data through easy-to-use APIs.The IoT Gateway provides adapters for network convergence and syntactic protocol normalization. It acts as a virtual gateway that brings devices and assets online, managing the connectivity with devices according to the specific communication protocol that the devices implement. The Gateway component is responsible for collecting data from a sensor and sending commands to the network on behalf of other Internet of Things Core Service modules.As early as 2015, Dell started investing in this market and producing its own Dell IoT Gateways.  Dell EMC now brings 30+ years of IT knowledge and 15 years of customizing Dell technology for OT environments through OEM and over 50 partners providing OT expertise.Certified Dell IoT Edge DevicesDell Edge Gateways tested and validated, pre-configured and pre-installed with SAP Leonardo Edge software.Dell Edge Gateway Series 3000Dell Edge Gateway Series 5000Dell Embedded PC 5000Simplifying and Accelerating the Digital Transformation Journey with SAPAs one of the earliest supporters of SAP HANA in-memory computing, Dell EMC continues to provide best-of-breed performance for SAP landscapes enabling customers to go from the Edge, through the Fog and up to the Cloud with everything pre-configured, pre-installed and certified/validated by SAP. For special requirements, Dell EMC offers Ready Nodes, Ready Bundles and Ready Systems – everything needed and expected from customers.To learn more about the Dell EMC infrastructure foundation for SAP Leonardo, visit Dell EMC at SAP Leonardo Live this week in Frankfurt.last_img read more

The People, Businesses and Technology Making AI a Reality

first_imgCan you imagine going under the knife only to find out afterwards you didn’t actually need surgery? I recently heard a story of a woman who had a lump removed from her breast that was benign. I was shocked. But after some research, I discovered it’s not uncommon.Even today, with all the technological advancements, unnecessary surgeries happen. About 90 percent of breast lump removals are discovered to be unnecessary. The good news is that technology such as artificial intelligence (AI) now exist to help solve these problems. Doctors like Manisha Bahl at Massachusetts General Hospital have shown that these unnecessary surgeries could be reduced by nearly one-third by using machine learning.It’s true. AI is real and widespread.AI innovation is happening everywhere, not just in healthcare. Approximately 71 percent of companies said they had already implemented AI or were planning to implement AI in the next 12 months.[1] The chart shows the responses from 2,106 data and analytics technology decision makers at global organizations.Source: Forrester Data Global Technographics Data & Analytics Survey, 2017.We wanted to better understand how AI impacts companies, their lines of business, and the IT department. So, we commissioned Forrester Consulting to help us answer these questions with primary research. The details and findings formed the basis of a Forrester Consulting Thought Leadership Paper on the topic.What’s clear is that the world is no longer waiting for Silicon Valley to develop an all-in-one solution to solve their problems. Individuals and organizations are using new foundational technology to innovate with AI on their own. Foundational technology such as 3D printing is democratizing manufacturing and improving product development. Connected IoT devices are now ubiquitous, and generating lots of raw data. Powerful new 4-socket servers with serial and parallel processing are used to digest massive amounts of data to compute insights in real-time. These technologies are now accessible to everyone, not just the huge research institutions or Fortune 50 companies.Organizations are using AI to better understand their customers and develop better products. In the next 12 months, 54 percent of companies are planning to use AI to deliver a better customer experience.[2] Across the globe, in every vertical, individuals and organizations are innovating with AI and its applications – machine learning and deep learning.HEALTHCARECould AI replace your doctor? Maybe. AI isn’t replacing everything your doctor does. The hospital of the future isn’t going to run itself. Similar to manufacturing, the advancements in healthcare appear to be focused on repetitive tasks and variability reduction. Let’s look at an example.The human eye is fallible. Doctors have human eyes. Even a handful of the best doctors can look at the same medical image and come to different conclusions. The question is how often does this happen? In 1959, a ground-breaking article cited that radiologists missed approximately 30% of positive findings.[3] More than five decades later, numerous studies still confirm the discrepancy of radiologic interpretations.[4]Enter the digital eye powered by AI. The digital eye is already better than the human eye in many areas. In fact, the accuracy of the digital eye is expected to further extend its lead on the human eye.[5] These improvements will continue to advance radiology, pathology, dermatology, and ophthalmology precision.At Stanford University, researchers are using the digital eye. They have created an AI algorithm to identify skin cancer. Human skin is full of lesions that are non-cancerous. Lesions like freckles, moles, and skin tags are very common and benign. It can be difficult to spot the cancerous ones. The Stanford researchers trained their deep learning algorithm with 130,000 images. What they found was that their algorithm’s efficiency at diagnosing skin cancer is similar to a doctor’s.MANUFACTURINGWhen Henry Ford radically changed how cars were built, humans performed almost every task, sometimes with mind-numbing repetition. Today, robots perform many of these sequences in a pre-programmed path. They do it with precision and without complaints. But, there are still problems to solve and efficiencies to gain, leading some to believe the days of the “dumb” factory are numbered.[6] The factory of the future will be smart and run itself with predictive maintenance, yield enhancements, and automated quality testing.The benefits of AI go beyond manufacturing operations. AI used in manufacturing business processes can have dramatic impacts, too. In fact, McKinsey believes there are huge advantages to an AI-enhanced supply chain:Forecasting errors can be reduced by as much as 50 percentLost sales from out-of-stock products can be reduced by up to 65 percentInventory stockpiles can be reduced by 20 percent to 50 percentHOSPITALITYIn 2005, Ritz-Carlton launched a central system to help deliver flawless and memorable customer service. They named it “Mystique” and it made staff observations about guests at one hotel available to all of its properties. Mystique solved a problem of information sharing across its 60 hotel properties. When hotel staff learned something new about a guest (like their preference for Diet Coke), they would enter it into Mystique. The company’s goal was to note five preferences about each guest.[7] When the guest returned to any Ritz-Carlton, the hotel staff would satisfy at least three or more of these preferences.More than a decade after the launch of “Mystique,” today’s traveler demands this across the hospitality industry. They expect hotels to know everything about them – what they like and what they don’t – and to accommodate and tailor messages around it. This goes beyond the size of the bed, preferred floor, and feather or foam pillows. Promotional emails no longer have to offer golf packages to those who don’t play golf. Customers want to see offers that appeal to their tastes, not the one-size-fits-all messages of the past. AI is helping do that by tapping into data sources like social media.Is your company completely ready for AI? Probably not.CIOs must emerge as the leader on AI for the entire business. The AI research we commissioned Forrester to execute revealed that there are numerous uncoordinated AI projects happening across the company. Lines-of-business leaders initiated most AI deployment efforts. Often, they engage IT for support. But, approximately 15% to 20% of time, IT is completely in-the-dark. Why?There is little doubt that IT is best positioned to lead all AI projects across the company. In fact, involving IT has compounding AI benefits. Companies that involve IT are 3x more likely to adopt machine learning platforms and 2x as likely to adopt deep learning platforms. On the other side of the equation, firms with lines of business who go it alone explore and adopt about half the number of AI building blocks.At least part of the reason why lines-of-business are bypassing IT is the lack of a modernized data center. IT owns the technology infrastructure, data, and software applications. IT is best positioned to serve as a hub for all AI initiatives and can connect to outside data sources and interconnect internal data sources across business units. But, the reality is that most data centers are not ready for AI initiatives. Respondents stated that some of their most challenging infrastructure issues for AI strategies were around server automation and security. Plus, 61% said they lacked servers with purpose-built processors like GPUs and FPGAs.How to prepare for AI initiatives in the data centerWe asked Forrester to put together a checklist to help CIOs lead AI in their company. It’s a great place to start because it includes strategic, tactical, and practical guidance backed by data. Some of the recommendations focus on the organization. Some focus on modernizing the infrastructure.Modernized infrastructure to support AI usually starts with new servers. It’s critical that these new servers support GPUs and FPGAs. CPUs are great for serial processing. GPUs and FPGAs are great for parallel processing. When computational tasks can be performed in parallel, the server offloads them to the GPU or FPGA. This frees up the CPU and is the key to cut learning times down from days and weeks to minutes and hours.Just a few short years ago, servers with specialized parallel processing capabilities were limited. These server platforms were expensive and so were the GPUs they needed. Today, things are different. The Dell EMC PowerEdge portfolio is packed with servers that are purpose-built to handle AI and machine learning. Late last year, we rolled out the PowerEdge C4140, which is an ultra-dense, accelerator optimized platform that can support 2 CPUs and 2 GPUs in a 1U space. Today, we further extend our commitment to AI with the announcement of two new 4-socket servers.The PowerEdge R840 is a dense, 2U platform with support for up to 4 Intel CPUs and up to 2 GPUs or up to 2 FPGAs. It’s geared to turbocharge data analytics with its flexible performance and capacity options including a 24 NVMe drive configuration and significant storage space.The PowerEdge R940xa is a 4U platform built for extreme acceleration. It supports a 1:1 CPU to GPU ratio with up to 4 Intel CPUs and up to 4 GPUs or up to 8 FPGAs. Large internal storage (with up to 32 drives) provides an alternative to rising cloud fees and security risks.These servers are only a small portion of the PowerEdge portfolio. You can check out all of them all by visiting dellemc.com/servers and learn more at dellemc.com/ai.[1] Forrester Data Global Technographics Data & Analytics Survey, 2017.[2] Source: A commissioned study conducted by Forrester Consulting on behalf of Dell EMC, January 2018.[3] Garland LH. Studies on the accuracy of diagnostic procedures.[4] Berlin L. Accuracy of diagnostic procedures: has it improved over the past five decades? AJR 2007; 188:1173–1178. https://www.ajronline.org/doi/full/10.2214/AJR.06.1270[5] Artificial Intelligence In Healthcare: Separating Reality From Hype, March 13, 2018. Forbes. Accessed April 24, 2018. https://www.forbes.com/sites/robertpearl/2018/03/13/artificial-intelligence-in-healthcare/#473ab2671d75[6] Teaming humans with robotic AI will remake modern manufacturing, September 11, 2017. Engadget. Accessed April 24, 2018. https://www.engadget.com/2017/09/11/human-robot-ai-manufacturing/[7] Technology Invades Hospitality Industry: Hilton Robot, Domino Delivery Droid, Ritz-Carlton Mystique, March 18, 2016. Forbes. Accessed April 24, 2018. https://www.forbes.com/sites/micahsolomon/2016/03/18/high-tech-hospitality-hilton-robot-concierge-dominos-delivery-droid-ritz-carlton-mystique/#65fc2e66120blast_img read more