Friday, 31 May 2019

PVH Asia Limited Selects Oracle to Modernize the Customer Experience

PVH Asia Limited, a wholly owned subsidiary of PVH Corp. [NYSE: PVH], one of the world’s largest apparel companies, has selected Oracle Retail to modernize its customer experience and store technology. Its iconic brands include CALVIN KLEIN, TOMMY HILFIGER, Van Heusen and IZOD. PVH Asia will implement Oracle Retail Xstore Point-of-Service and Oracle Retail Customer Engagement to connect with the next generation of consumers. The solution will be rolled out in stores across China, Hong Kong, Macau, Taiwan, Singapore, Malaysia, South Korea, and Japan.

“PVH continues to experience extraordinary growth. As we compete and grow across Asia, we wanted to ensure our technology partner understands and supports local business requirements of a modern customer experience,” said Eileen Mahoney, executive vice president, chief information officer, PVH Corp. “After a competitive evaluation, Oracle emerged as the best choice to support our business.”



“We are honored to partner with PVH Asia. We recognize that retailers need to deliver added value to win favor with the next generation shoppers,” said Mike Webster, senior vice president, and general manager, Oracle Retail. “With a 360 view of the consumer, we can help PVH empower associates and allow them to deliver relevant and local offers.”

About Oracle Retail


Oracle is the modern platform for retail. Oracle provides retailers with a complete, open, and integrated platform for best-of-breed business applications, cloud services, and hardware that are engineered to work together. Leading fashion, grocery, and specialty retailers use Oracle solutions to accelerate from best practice to next practice, drive operational agility and refine the customer experience.

About Oracle


The Oracle Cloud offers a complete suite of integrated applications for Sales, Service, Marketing, Human Resources, Finance, Supply Chain and Manufacturing, plus Highly Automated and Secure Generation 2 Infrastructure featuring the Oracle Autonomous Database.

About PVH Corp.


PVH is one of the most admired fashion and lifestyle companies in the world. We power brands that drive fashion forward – for good. Our brand portfolio includes the iconic CALVIN KLEIN, TOMMY HILFIGER, Van Heusen, IZOD, ARROW, Speedo*, Warner’s, Olga and Geoffrey Beene brands, as well as the digital-centric True & Co. intimates brand. We market a variety of goods under these and other nationally and internationally known owned and licensed brands. PVH has over 38,000 associates operating in over 40 countries and $9.7 billion in annual revenues. That’s the Power of Us. That’s the Power of PVH.

Wednesday, 8 May 2019

Growing Cyber Threats Drive Need for Advanced Security Defenses

The majority of C-Suite executives and policy makers in the United States believe investing in security software, infrastructure and emerging technologies is critical to protecting U.S. data from growing cybersecurity risks, according to a newly released survey.

Asked what would make the U.S. government better equipped to secure data, 51 percent of C-Suite executives and 62 percent of policy makers cite investing in IT/security infrastructure; 59 percent of the C-Suite and 60 percent of policy makers cite investing in security software. When it comes to their own security investments over the next 24 months, 44 percent of C-Suite executives and 33 percent of policy makers plan to purchase new software with enhanced security; and 37 percent and 25 percent, respectively, plan to invest in new infrastructure solutions to improve security.

The report, “Security in the Age of AI” detailing the views and actions of C-Suite executives, policy makers and the general public related to cybersecurity and data protection, was released today by Oracle.



In addition, both C-Suite executives and policy makers rank “human error” as the top cybersecurity risk for their organizations. However, in the next two years, they are choosing to invest more in people—via training and hiring—than in technology, such as new types of software, infrastructure, and artificial intelligence (AI) and machine learning (ML), which is essential to advancing security and significantly minimizing human error. Only 38 percent of C-Suite executives and 26 percent of policy makers plan to invest in AI and ML to improve security in the next 24 months.

“We are at a critical juncture in our cybersecurity journey, as more decision makers in the public and private sector recognize the benefits of investing in next-generation technology designed for security to make progress on addressing previously intractable threats, instead of relying solely on people or legacy technology,” said Edward Screven, Chief Corporate Architect at Oracle. “That said, there is a delta between what C-Suite executives and policy makers think is best for America’s cyber future and the actions they are taking for their own organizations, indicating a greater need for business and government to understand how and why next generation technologies are so critical for their own cyber defenses.”

Queried about what their organization has done over the past five years to improve security, both C-Suite executives and policy makers said they had upgraded existing software (60 percent and 52 percent respectively) and trained existing staff (57 percent and 50 percent respectively). Just over half (54 percent) of C-Suite executives and 41 percent of policy makers have purchased new software with enhanced security features, with 40 percent of C-Suite executives and 27 percent of policy makers having invested in new infrastructure solutions.

Technology Industry Faces Great Threats and Responsibilities


As for what they perceived to be the greatest security threat to the technology industry, attacks by foreign governments was ranked highest by respondents (C-Suite 30 percent; policy makers 37 percent). Seventy-eight percent of C-Suite executives, 75 percent of policy makers and 64 percent of the general public believe the technology industry is well equipped to protect data. Additionally, 79 percent of C-Suite executives and policy makers, and 64 percent of the general public trust the technology industry to behave responsibly and in the best interests of the American public, as it relates to data security. Interestingly, only one in three C-Suite executives (34 percent) and policy makers (32 percent) think it is the government’s responsibility to protect consumer data, highlighting the critical role that the technology sector has to play in keeping U.S. data protected.

“While the government has an important role to play in keeping America’s data safe, today’s increasingly dangerous cybersecurity landscape means it can’t be expected to out-innovate attackers on its own. That’s our job,” said Screven. “The U.S. government and businesses will need to rely on the technology sector more to advance the nation’s cyber defense. We can build data centers, hire talent and secure data at scale more efficiently than any one individual customer can.”

Artificial Intelligence and Its Impact on Security


Only 33 percent of C-Suite executives and 20 percent of policy makers adopt and implement AI and ML to its fullest potential, yet they strongly believe autonomous technologies powered by AI and ML will improve the way they protect and defend against security threats.

“For the past several years, our R&D efforts have been focused on ways to out-innovate the most sophisticated security threats we could imagine. That’s why Oracle Cloud Infrastructure was rebuilt with separation between application and security processing and designed to run the Oracle Autonomous Database. The Oracle Autonomous Database uses AI to deliver the world’s first and only self-driving, self-securing and self-repairing database that repairs, patches and updates itself,” Screven added. “These and other Oracle cloud security technologies based on machine learning can become the cornerstone of an organization’s cybersecurity defense strategy.”

Friday, 8 March 2019

Oracle Data Cloud Announces New MRC Accreditation For Moat Analytics


Oracle Data Cloud today announced that the Media Rating Council (MRC) has granted accreditation to Moat Analytics for its ability to detect and filter sophisticated invalid traffic (SIVT), like the ad fraud generated by bot networks, in mobile apps. To earn its MRC accreditation, Moat Analytics successfully completed an audit of its technologies, systems, and processes by independent CPAs engaged by the MRC, and was found by an MRC committee to be compliant with MRC’s high standards.

“Mobile has become a critical front in the struggle against ad fraud,” said Dan Fichter, Vice President of Engineering at Oracle Data Cloud. “For marketing budgets to continue their shift to apps and the mobile web, marketers must gain confidence that the mobile environment is safe. This MRC accreditation was earned through the hard work of a cross-disciplinary Moat technology team that specializes in mobile development, network engineering, data science, and machine learning across a footprint that nets us tens of billions of measurement logs each day. I’m very proud of the teams that have pulled this off.”

Highlighting the importance of in-app SIVT prevention, Oracle last week announced the discovery of “DrainerBot,” a major mobile ad fraud operation distributed through millions of downloads of infected consumer Android apps. Infected apps could consume more than 10GB of data per month downloading hidden and unseen video ads, potentially costing each device owner a hundred dollars per year or more in data overage charges.

“The MRC’s guidelines for SIVT filtration and detection were designed to ensure that measurement providers comply with a comprehensive range of rigorous requirements for this vital and complicated work,” said George W. Ivie, Executive Director and CEO of MRC. “We are pleased to recognize Oracle Data Cloud’s Moat Analytics for achieving this important accreditation for in-app SIVT filtration and detection, and we commend them for their leadership in working toward transparency and accountability in digital advertising.”

According to the MRC definition, Sophisticated Invalid Traffic includes “traffic identified through advanced analytics; multi-point corroboration; human intervention – such as hijacked devices, ad tags, or creative; adware; malware; misappropriated content.” Moat Analytics previously has also been accredited by the MRC for SIVT Filtration and Detection for Desktop and Mobile Web, as well as Display and Video Ad Viewability Metrics for Desktop, Mobile Web, and Mobile In-App.

According to eMarketer, Americans spent more than three and a half hours per day using their smartphones and tablet devices on average in 2018, and 88 percent of that time was spent within apps, rather than mobile web browsers, creating a significant risk for ad fraud and a need for rigorous monitoring and defense.

Moat Analytics helps top advertisers and publishers measure and drive attention across trillions of ad impressions and content views, so they can avoid invalid traffic (IVT), improve viewability, and better protect their media spend.

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