If you were a DWEN attendee and participated in our volunteer event at the Christel House, have you kept in touch with any of the Christel House entrepreneurs you met and mentored? Did you bring a teen to Girls Track and would like to share her story with us? Please let us know in the comments, below.I’m really looking forward to meeting this year’s participants very soon– a mix of girls from the U.S., India, China, and Europe. Our Youth Learning partner this year is the Girls Scouts of Northern California. I’ll tell you all about it after the event! Managing the Girls Track for the Dell Women’s Entrepreneur Network (DWEN) Summit last year was the highlight of 2016 for me. What a journey—from the two days and two overnight flights it took to get from Austin to Cape Town, to seeing some of the girls present their business ideas to the entire adult DWEN delegation.Each of those 20 teens, who came from South Africa, Australia and the U.S., brought their talents and enthusiasm to the conference—making it a special event for the girls and adults alike. I’ll never forget them.Girls Track and Dell’s annual DWEN Summit will take place this year in San Francisco, July 17-18. In response to the disparities faced by women in starting and growing their businesses, Dell founded DWEN in 2010. The program is focused on creating and fostering a community of like-minded women founders who are looking for ways to grow—primarily by expanding into fast-growth, emerging countries—and who need a venue to exchange ideas, learn and do business with one another to make it happen.“Through DWEN’s Girls Track, I know I have the power within me to achieve my dreams and excel in whatever I do if I put my mind to it.ShareZahrah Alias, Grade 9, 15-years-old, Girls Track Dolphin Tank Runner-upJust as DWEN aims to connect female entrepreneurs with networks, sources of capital, knowledge and technology, the Girls Track is investing in girls, ages 13 – 18, so that their path to entrepreneurship can be a guided one. At Girls Track, girls hone their entrepreneurial instincts and grow their technology skills with the help of their peers and DWEN attendees.So what are last year’s participants up to now and what Girls Track meant to them?I had the opportunity to touch base recently with some of the girls who joined us for Girls Track. Each one I spoke to is a student at Christel House, a school for K-12 grade students outside of Cape Town that is focused on educating the most underprivileged children in its community. Christel House is also an important Youth Learning partner with Dell. Since 2009, Dell has provided the school with technology and funding, enabling Christel House to use innovative teaching methods to assist students in maximizing their academic and employability potential.While back at school and busy with their studies, the memories, friendships and skills the girls gained at DWEN will stay with them as they graduate, launch their careers and, perhaps, new businesses.Below are some of their comments about their Girls Track experience. “My experience at the Girls Track event was life-changing. It expanded my knowledge and makes me believe that one day I’ll be able to be a successful businesswoman. Girls Track taught me lifelong lessons. It also gave me the ability to think creatively; voice my opinion or suggestions to an idea.”Jessie Stellmacher, Grade 10, 16-years-old“It was inspiring to see so many business professionals all in one room sharing their business knowledge. My favorite session was the website design session. It capitalized on how technology is now, how it is enabling organizations, and what we can expect from technology in the future.”Vuyolwethu Blaai, Grade 12, 17-years-old“Initiatives like DWEN make it easy for girls like me to aspire to have their own businesses. I will never forget the experience and will forever be grateful to my school, Christel House, and to Dell for the opportunity. Thank you!”Vuyolwethu Blaai, Grade 12, 17-years-old“Being part of the DWEN event was a huge opportunity for me. I have never been interested in becoming an entrepreneur, but after the summit I changed my mind! Today, I know more about web design, public speaking and budgeting. I was very nervous when I first arrived at Girls Track, but I started gaining confidence soon while listening to all the powerful women around us. What inspired me the most was Mikaila Ulmer’s business success story. I never came across and got to work with a successful business girl who was just 11-years-old—wow!”Aneeqa Philander, Grade 9, 15-years-old read more
The unrelenting growth of unstructured data represents an enormous opportunity for those organizations looking to transform their businesses to win in the new digital economy. While unstructured data is the fuel that can power business success, harnessing it can be a challenge. For example, in many organizations today, data is frequently spread across diverse storage platforms, trapped in infrastructure ‘silos’ dedicated to specific applications, and spread across on-prem storage and various cloud storage platforms. In these environments, IT managers and business users frequently don’t have tools to answer simple questions about their data such as:Where is my data? Is it in the cloud or on one of our enterprise storage platforms?How can I enable my department to find the data they need on their own?How can our teams access our data to collaborate more effectively on projects?Introducing Dell EMC ClarityNow Just-released and available globally through Dell EMC and its authorized channel partners, Dell EMC ClarityNow is data management software that enables organizations to locate, access and manage data in seconds, no matter where it resides – across file and object storage, in the data center or in the cloud. With ClarityNow, IT organizations can gain a holistic data view across their storage systems with a single pane of glass, effectively breaking down trapped siloes of data.For business users and content creators, ClarityNow offers self-service capabilities to find, use and move files to the most appropriate storage tier (e.g. all-flash or archive), with a database that can index billions of files and folders that would otherwise be difficult to access without a consolidated global file system view. For IT administrators, ClarityNow provides an ability to manage storage costs, rapidly locate files and accurately report on the usage of storage infrastructure.As shown in the diagram above, ClarityNow is a complementary solution to both Dell EMC Isilon Scale-out NAS and Dell EMC ECS Object Storage, and a number of 3rd party and cloud storage platforms. ClarityNow runs on a dedicated server and on clients to locate, access and manage data across file and object storage, on-prem and in the cloud.Customer use case examplesOrganizations in the Life Sciences sector often deal with complex workflows with billions of files across petabytes of heterogeneous storage. One of Dell EMC’s ClarityNow customers, a genetics research company, built a scientific archive which is accessible by many content owners as well as IT. ClarityNow enabled high speed search across storage repositories with a single pane of glass view while the self-service archive allowed researchers, producers, design managers and engineers to manage their own storage costs and workflows, handling access, visibility and control in a single, highly scalable system.In the Media and Entertainment industry, a large motion picture firm deployed ClarityNow to help producers, service reps and editors to quickly find the files for the jobs they are working on. Since piracy is a big concern for theatrical content, the firm needed a solution that provided visibility into files without full access. ClarityNow enabled visibility into data without compromising security, allowing the firm to pass security audits for suppliers working on confidential movie production projects.Key capabilities of Dell EMC ClarityNow A unified, single pane of glass view gives insight into file and object data in the data center, off-prem and in the cloudHigh speed search and indexing scans to organize files in “look aside” modeSelf-service allows content owners to move data from high-performance file storage to archivesData mobility engine with bi-directional movement across file and object storagePurpose-built database supports optimized analytical performanceReports show the true cost of dormant and redundant data with chargeback/showback viewsVisibility into files without direct data access ensures data securityUnlock the Value of Your Data Capital With the ability of ClarityNow to give a consolidated view across heterogeneous file and cloud storage, Dell EMC is offering organizations more powerful tools to help shrink their data center footprint, lower operational costs and bring order to the explosive growth of unstructured data. Ultimately, this is about helping our customers advance their Digital Transformation initiatives with a modern infrastructure foundation to capture and organize massive amounts of data, while accelerating the ability of the business to unlock the value of their data capital.Find out more about Dell EMC ClarityNow or contact your Dell EMC sales or channel partner representative. read more
I cannot remember the last time I met CTOs within our Dell EMC OEM customer community who were not focused on making their OEM products more intelligent and data-driven. The reality is that if you’re not thinking about data and the “digital footprint” of your product, you’re in the minority.Value in DataThis emphasis on data is increasingly reflected in the organizational structure of companies. Today, we see expert roles dedicated to data strategy, AI and IoT. The constant quest is to find value, meaning and efficiencies in data where previously, due to technical or operational constraints, it was, quite simply, unfeasible to unleash the genie from the bottle.And yet, while the technology and the means to acquire and analyze data, are maturing, we still face complexity. The problem is that access to data and approaches to analysis remain inconsistent across industries and institutions.Medical ImagingFor example, take healthcare, specifically Medical Imaging. Arguably, this is an ideal candidate for the application of Artificial Intelligence. The idea that a doctor or surgeon studying patient images and looking at risk markers based on the results of previous research studies, can benefit from a global, near real-time advisory system is incredibly powerful.If implemented correctly, this could augment our healthcare system in a profound and meaningful way, saving thousands of lives in the process. It seems like such an obvious no-brainer, right? So, why aren’t hospitals and health care systems rushing to implement it straight away?Data GovernanceThe issue here is largely data governance. There is no global repository of patient imaging data that experts in the field of data science can just point their medical imaging model to. Data is siloed in different countries, regions and hospitals. Connecting data together is often impossible due to legal issues.Even if that wasn’t a factor, trying to centralize the vast quantities of data would pose tough technical challenges. This is not to say that great breakthroughs in the field aren’t happening; they absolutely are. Nonetheless, data starvation is an issue and will continue to be the case, as long as we consider the centralized model to be the only option.Autonomous VehiclesA similar issue exists in training autonomous vehicles. In this case, the sheer volume of data needed to train models in decision-making within a suitable margin of error is incredibly large. Even if we were to overcome the issue of centralizing data for the initial model creation, how do we continue to improve the model? How do we harness the data that continues to be created by vehicles in the field without having to share potentially sensitive and cumbersome raw data back to a central location?Centralization vs. the Edge?And so, if centralization isn’t possible, can we look to the Edge? What about deploying more compute resources to process the data close to the point of creation without bringing it back to the datacentre? There are numerous benefits here, not least latency and networking complexity. This could admittedly fix one problem, but it could also create a slew of others.For example, in the medical imaging scenario, this would create more silos, with each hospital having its own algorithm. As the larger hospitals would naturally have access to more data, they could develop more accurate models while the smaller ones would continue to be starved. In short, there would be no guarantee of “consensus” across the models.Federated Machine LearningOne area that I’m excited about that could help resolve all these issues is Federated Machine Learning. The concept behind Federated Learning (FL) is that the continuous training of the model is disaggregated from the datacentre; instead, it is distributed across nodes that sit in different locations or institutions.Best of Both WorldsFor example, each hospital would take an initial shared model from a central server and continue to train that model, using its own dataset in isolation before sending an updated model back to the central server. The central server would then take updates from all the hospitals and aggregate the changes, improving and calibrating the original model before re-distribution to the nodes across the various sites.The beauty of this approach is that raw (patient) data is isolated and never shared between different sites or even between the nodes and the central server. The network bandwidth requirements are exponentially smaller. The algorithm becomes “democratically elected”, with the data from each hospital contributing its part. Weighting can be applied in order to ensure that the largest datasets are given the highest priority.Promising ResultsTest results so far are promising. In a 2018 experiment carried out by Intel and the University of Pennsylvania, a Federated Machine Learning model achieved 99 percent of the model performance of a model created with shared data.It’s an evolving area of research, but it’s not difficult to imagine how beneficial this could be if architected properly with adequate attention to security. There are some interesting Open Source projects underway currently that use block chain technology for this purpose.Improving Performance without Sharing Raw DataBy using Federated Machine Learning, I believe that those who are designing smarter products of all types can continuously update and improve the behavior and performance of the decision engines without ever needing to share raw data. Think about the potential for Federated Machine Learning in the security and automotive industries plus a multitude of IoT use cases!Appliances deployed across multiple customer locations could individually contribute to improving the products in which customers have invested. Coupled with powerful Edge computing hardware, this method could prove instrumental in helping OEMs bring their products to a smarter future.Are you trying to find new ways to make your products more data-driven? Do you have insights to share? I would love to hear your comments and questions. Learn more about Dell EMC OEM Solutions here.Join our LinkedIn OEM & IoT Solutions Showcase page here.Keep in touch. Follow us on Twitter @dellemcoem read more
GENEVA (AP) — Delegations from Syria’s government, opposition and civil society have started a new round of meetings in Geneva aimed at revising the constitution of the war-torn country. The fifth round of the so-called Constitutional Committee on Monday comes days after the U.N.’s special envoy for Syria said many subjects have been discussed for more than a year. He said it’s now time for the committee to ensure that “the meetings are better organized and more focused.” Syria’s nearly 10-year conflict has killed more than half a million people and displaced half the country’s pre-war 23 million population, including more than 5 million refugees mostly in neighboring countries.
NEW YORK (AP) — Now, even the pros on Wall Street are asking if stock prices have shot too high. The U.S. stock market has been on a nearly nonstop rip higher since March, surging roughly 70% to record heights. Wall Street was always quick to justify it, even as the pandemic took its toll on people’s health and the economy. But some of the market’s recent, huge moves have become more difficult to explain, and it’s not just the maniacal swings for GameStop and some other stocks. That has some investors openly debating whether the market is in a bubble, after months of batting away the possibility.