Our USP in the PR market is to research to find the next influential technology and business leader who can support POC data to the media. In today's digital thunderstorm of news, publications, are more than ever, reliant on the principles of journalism. That is why we are excited to announce we have been nominated for Best Integrated Agency in the 2019 Prolific London Awards. Our mission to create dynamic client campaigns through digital innovation, keeps us at the forefront of leading business and technology media conversations and we are proud to share this nomination with our dedicated international team. Our work with UK based WAN Data Acceleration company Bridgeworks Ltd., has produced a thriving external communications strategy to attract multi-million dollar business contracts in global markets like the US, Europe and South Africa.
Years ago, a mobile app for email launched to immediate fanfare. Simply called Mailbox, its life was woefully cut short -- we'll get to that. Today, its founders are back with their second act: An AI-enabled assistant called Navigator meant to help teams work and communicate more efficiently. With the support of $12 million in Series A funding from CRV, #Angels, Designer Fund, SV Angel, Dropbox's Drew Houston and other angel investors, Aspen, the San Francisco and Seattle-based startup behind Navigator, has quietly been beta testing its tool within 50 organizations across the U.S. "We've had teams and research institutes and churches and academic institutions, places that aren't businesses at all in addition to smaller startups and large four-figure-person organizations using it," Mailbox and Navigator co-founder and chief executive officer Gentry Underwood tells TechCrunch. "Pretty much anywhere you have meetings, there is value for Navigator."
Faced with digital disruption in their industry and a radical shift in consumer behaviour, enterprises are looking to boost operational efficiency and agility in solving business problems. For a business looking to be competitive or disrupt the existing market space, Artificial Intelligence (AI) can be a solution. It can help their machines become intelligent by providing it with a brain, ability to take decisions and outperform humans. Today enterprises of all sizes are adopting to AI to build smart applications and automate processes. A Gartner Survey reveals 37 % of organizations having implemented Artificial Intelligence in some form.
Dell EMC, subsidiary of Dell Technologies brands, said Wednesday it was looking into investing in emerging technologies like artificial intelligence, blockchain, data analytics, and cloud-compliance. "The clients are looking to tap these technologies, which is why we are bringing in servers that allow them to optimize on traditional workloads as well as invest into new age workloads such as cloud, artificial intelligence, analytics, and blockchain," said Manish Gupta, senior director and general manager of Infrastructure Solutions Group, Dell EMC India, the Economic Times, an Indian daily, reported. The clients of Dell EMC India include major local IT firms, banks, financial organizations, and insurance companies. This list also includes the Indian government which is reportedly taking a keen interest in blockchain applications. Dell EMC's servers and networking business posted revenue of $5.1 billion in the second quarter of 2018, a 34 percent increase from 2017.
Blue Prism yesterday announced the acquisition of Thoughtonomy, a SaaS-based integrated automation platform with Blue Prism RPA baked into its core. After six years and much flirting with potential suitors, Terry Walby's Thoughtonomy successfully exits into the welcoming arms of Blue Prism. This was always the logical end-game for Terry's business, which he bootstrapped from day 1 and tirelessly pushed at the automation world. HFS was particularly inspired with the firms work at the UK's National Health Services (NHS) (which you can read here). Essentially Thoughtonomy is RPA cognitive capabilities cloud.
In my previous post, I outlined a key problem facing insurers today: many are investing a significant amount in innovative technologies, yet are struggling to unlock their true potential and release trapped value in their business. In this post, I'll discuss how insurers can use advanced technology such as artificial intelligence (AI) and intelligent automation to reduce costs, enhance operations and improve efficiency to future-proof their organizations. In our research on "The New, New Normal: Exponential Growth", 56 percent of executives agreed that AI deployment will drive new growth and revenue opportunities by accelerating new products and services. Fifty-eight percent said that AI-enabled revenue growth will come from increased customer satisfaction and engagement; while nearly 50 percent believe it will spur a change in their business models. In the 2017 Technology Vision for Insurance survey, 76 percent of executives said AI would significantly or completely change the industry in the next three years, while 72 percent believed it would have a similar impact on their organization.
Artificial intelligence (AI) is making its presence felt in every aspect of our daily lives--from the new breed of virtual assistants in our homes, to the spam filters that eliminate unwanted spam emails from our inboxes. As AI algorithms--and the computing power that drives them--improve year-on-year, their ability to positively transform the world in which we live is unquestionable. In fact, PwC predicts that AI could contribute up to $15.7 trillion to the global economy by 2030. Indeed, as many as 20% of the 1,000 US organisations recently surveyed by PwC had plans to implement AI enterprise-wide in 2019. The PwC research also reveals how companies are increasingly initiating AI models at the very core of their production processes, in a bid to enhance operational decision-making and provide forward-looking intelligence to people in every function throughout the business.
At ROSS, we're always talking to lawyers about how artificial intelligence is changing their practice. Our discussions are usually focused on AI and legal research. But sometimes the conversation turns to applications that might have seemed far-fetched a couple of years ago but now don't seem quite so crazy. A recent conversation with plaintiff's personal injury lawyers turned toward the application of prediction markets to settlement negotiations. The gist of the idea was that crowd-sourced predictions on settlement amounts could move unreasonable parties into reasonable settlement range.
As an impact of AI, present broker-dealers now have access to advanced trading infrastructure that helps in developing hedge funds and asset management in a highly crowded market room. FREMONT, CA: Customer management systems are provided at highly competitive prices. AI's increasing effect backs current and new brokerages. To achieve a competitive advantage, modern companies have monetized data-driven behavioral insights. Operating a brokerage without instruments is setting a path to failure by leveraging information that delivers actionable ideas.
The insurance sector has fallen behind the curve of financial services innovation - and that's left hundreds of billions in potential cost savings on the table. The most valuable area in which insurers can innovate is the use of artificial intelligence (AI): It's estimated that AI can drive cost savings of $390 billion across insurers' front, middle, and back offices by 2030, according to a report by Autonomous NEXT seen by Business Insider Intelligence. The front office is the most lucrative area to target for AI-driven cost savings, with $168 billion up for grabs by 2030. In the AI in Insurance Report, Business Insider Intelligence will examine AI solutions across key areas of the front office - customer service, personalization, and claims management - to illustrate how the technology can significantly enhance the customer experience and cut costs along the value chain. We will look at companies that have accomplished these goals to illustrate what insurers should focus on when implementing AI, and offer recommendations on how to ensure successful AI adoption.