Posts Tagged: "AI"

IP Portfolio Managers need to shift from IP-centric to business-centric strategies

Instead of following the same IP plan year after year, IP managers should focus their strategy on aligning their IP with their business, including developing a more concise IP plan, and switch to using smarter and modern analytics… IP managers must: (1) Start with the end in mind: IP is the business; (2) Build a plan, measure and manage and continuous improvement; and (3) Create an environment where your IP and business execs have access to timely actionable intelligence to support their decisions and strategies.

The Value in AI will be in Solving Real World Business Problems

Technology industry leaders and consumers will find it valuable to integrate disparate AI technologies. As AI becomes less siloed, they will discover that when these different AI technologies are integrated they can deliver more than the sum of their parts… Traditional industries like professional services, including law firms, insurance firms, etc., who implement AI technologies will see a large increase in employee morale and retention. Instead of being bogged down with boring, routine tasks, employees will have the opportunity to focus on more engaging, fulfilling work. Wallqvist says that this will prompt more firms to adopt AI, in order to keep employees from leaving their firm for another that is utilizing AI to reduce the amount of low-value, tedious work done by their employees.

With 9,043 U.S. Patents, IBM Tops for 25th Consecutive Year

IBM inventors received a record number of U.S. patents in 2017, again blowing past their own previous record to sail past 9,000 issued patents. Over the last 25 years IBM inventors have received patents for such transformative ideas as secure credit card transactions, guiding the visually-impaired using RFID, the world’s fastest supercomputers and earthquake detectors. With more than a quarter-century of innovation under its belt, IBM has continued to work on the most contemporary, relevant problems that exist today. This year alone IBM inventors obtained patents in areas such as Artificial Intelligence, Cloud, Blockchain, Cybersecurity and Quantum Computing technologies.

Nothing artificial about this intelligence: AI meets IP

Artificial intelligence (AI) is no longer a plot point in futuristic sci-fi novels and films. In many aspects of our lives, machines are increasingly performing tasks previously handled by human intelligence. The current and potential applications of AI span a breadth of industries… Whether it’s patent search, online advertising or aviation, AI helps by acting as a multiplier for human function and creativity. As humans continue to innovate, producing an overwhelming amount of work which translates into an incredible amount of data, AI will be the key to decoding and uncovering necessary information.

The Role of Artificial Intelligence in Intellectual Property

Artificial Intelligence (AI) has been a technology with promise for decades. The ability to manipulate huge volumes of data quickly and efficiently, identifying patterns and quickly analyzing the most optimal solution can be applied to thousands of day-to-day scenarios. However, it is set to come of age in the era of big data and real time decisions – where AI can provide solutions to age old issues and challenges.

How Artificial Intelligence is set to disrupt our legal framework for Intellectual Property rights

It’s safe to say that most sectors will undergo significant disruption as a result of artificial intelligence (AI) technology. AI will not only disrupt our business models but it will also disrupt our legal framework for the creation and exploitation of intellectual property (IP) rights, giving rise to new IP challenges for those seeking to develop and deploy new AI systems.

Smaller players in the intelligent virtual assistant space continue to develop AI tech

In mid-April, Cambridge, MA-based software developer Pegasystems (NASDAQ:PEGA) unveiled the Pega Intelligent Virtual Assistant, an AI tool which uses natural language processing to create responsive chatbots for a variety of business scenarios.

AI-Driven Innovation: Can & Should it Be Regulated?

Historically, legal decisions have dismissed the notion of a machine or autonomous program being the inventor. In fact, as a recent contribution to Lexology states, “Congress has stated that the Patent Act is intended to ‘include anything under the sun that is made by man.’” However, with the increasing use of AI to augment the pace and scope of innovation, questions arise as to who owns the invention and subsequent IP rights in cases where AI is involved… However, as a new and emerging technology, artificial intelligence is a hot topic of discussion and calls for greater oversight and regulation of the technology are growing louder. Going beyond liability and public safety concerns, some pundits suggest that if legislators don’t act quickly, AI could lead to the most dramatic erosion of IP that the modern era has seen thus far.

UK Digital Strategy initiatives in AI, robotics underscore lagging U.S. development caused by patent ineligibility of software

The absurd way in which important players in the U.S. patent system view the patentability of software innovations will undoubtedly harm our country’s chances of benefiting economically from the coming AI boom. Which is too bad, because that same Accenture study on AI’s economic benefits to the UK predicts that AI could add as much as $8.3 trillion to the American economy, thanks in no small part to “a strong entrepreneurial business climate and advanced infrastructure position.” But that strong entrepreneurial business climate is undercut by the weakening of patent protections for software, which makes up much of the foundation of artificial intelligence technologies.

Revolutionary JP Morgan software capable of doing contract review likely patent ineligible in the U.S.

JP Morgan has created revolutionary software capable of doing in seconds the same work that it would take a large team of lawyers 360,000 hours to complete. Clearly, this extraordinary software solution for engaging in tedious contract review is nothing more than an abstract idea and is not the type of thing that can be patented in America. The United States Supreme Court has put an end to these types of revolutionary innovations being patented, and if the hard working patent examiners at the United States Patent and Trademark Office make a mistake and issue a patent on such a ridiculously simple innovation that a second year engineering student could clearly have programmed over a weekend while sipping latte’s at the corner coffee shop the PTAB, some district court or the Supreme Court will step in and set the record straight.

Intelligent virtual assistants will support one-fifth of all human interactions with smartphones by 2019

The next decade should see a major increase in intelligent virtual assistants with market research firms predicting that the market will grow at a compound annual growth rate (CAGR) from 34.9 percent up to 38 percent between 2016 and 2024, reaching a global market size which could be as large as $12.28 billion by 2024. Industry sectors where virtual assistants will see major applications develop soon include banking, financial services and insurance, due in large part to the growth of mobile banking, as well as end-uses in the healthcare and e-commerce sectors.

At CES 2017, Alexa reigns supreme over the growing consumer market for AI tech

There can be little doubt that the current conversation surrounding voice assistant technology begins and ends with Alexa, the personal assistant technology developed by Amazon.com. This AI platform has been baked into the growing suite of consumer electronics developed by Amazon, including Amazon’s Echo device. Near the end of November, news came out reporting that more than five million Echo units had sold within two years and Alexa’s voice interaction and app execution capabilities are a major reason for the Echo’s success.

Opening Pandora’s Box in an Age of Artificial Intelligence Innovation

Artificial Intelligence (AI) is coming for your job. But is it coming for the job of your photographer or inventor? The driver-less cars, automated factories, and automated laboratories of today may give way to AI capable of thinking, writing, creating or even diagnosing disease. So it certainly seems feasible that AI is coming for the jobs of creators like photographers and inventors, although we may be many years away from true “general AI” capable of human-like intelligence. Nevertheless, automation is taking over many tasks once relegated to humans — like running laboratory experiments or being a lawyer.

America’s Big 5 tech companies increase patent filings, Microsoft holds lead in AI technologies

In terms of sheer numbers, in the CB Insights study, which curiously did not include patent giant and American research juggernaut IBM, Microsoft ranks supreme among this collection of five major tech firms. The Redmond, WA-based hardware and software developer has applied for a total of 16,840 patents over the seven years of the study. In second place is Google with 14,596 patent applications over the same time period. Although exact numbers for the other three firms weren’t publicly released by CB Insights, these two firms are followed by Apple (13,420 patent applications), Amazon (5,186) and Facebook (2,508), respectively. Collectively, these five companies have been pushing towards a total of 10,000 patent applications filed per year. This trend marks a sharp rise in patent application filing activities among the Big 5, which filed 3,565 patent applications collectively in 2009.

The Third Wave: Why Big Data is the Future of Legal Tech

As anyone who’s worked at a law firm can attest, lawyers at a firm use each others’ experience to inform their strategy in a given case. Firm-wide emails asking if anyone has appeared in front of a particular judge or tribunal are routine and allow lawyers to benefit from the insights their colleagues provide. Big data analytics allow lawyers to gather this same information, but on a much larger scale. For instance, analytics platforms allow attorneys to view their judge’s complete history, including every decision issued and every case cited, to identify the legal precedent the judge finds most persuasive.