Ashutosh Pande and Urs Dommann discuss economics of patent searching; and introduce an initial formula describing search quality (“search quality index”). Let’s get serious with understanding search quality.
Much of the value offered by IP search services is helping customers to identify the most relevant data sources, without getting distracted by the irrelevant. But this can come at a cost. Urs Dommann and Ashutosh Pande explain the searcher’s dilemma.
If you could clone the ‘perfect searcher’, what kind of personality, experience and profile would you specify to optimize patent search quality? Urs Dommann reflects on the human factors of knowledge management, and how machines fill the inevitable gaps.
Read how analytics can help maximize the potential of your human capital.
Is it possible to deliver a perfect IP and R&D search, i.e., a novelty or validity search that finds 100% of the relevant documents? Urs Dommann tells the story of seeing it achieved and explains why the method can’t be repeated.
The Head of Evalueserve’s IPR&D business Urs Dommann launches our Information Adventurers blog with a fundamental and provocative question. What constitutes a good IP and R&D search or intelligence?
In recent times, my conversations with general managers have inevitably veered to the topic of Artificial Intelligence (AI) and Machine Learning (ML). What puzzled me was the lack of true understanding of these terms and the imprecision with which they were being used.
The GDPR, which comes into force on May 25, 2018, should be a top priority for all your departments if your company has operations in the EU.
MiFID II regulation provides transparency and investor protection, however, the European Union’s new approach creates conflict for US-based firms where bundling research is a common practice. So what is the need for the US to be compliant?
Businesses are increasingly offering tech-heavy services at a time when a younger, tech-savvy generation is entering the workforce. How do we retain this dynamic, learning-hungry lot?
Automation is the most popular trend in today’s world of business. It is general consensus that automation increases productivity, leads to higher returns, and makes life better, but there are broader differences on how it will impact employment levels and society as a whole. The big question is: are we prepared to deal with its implications?
The spread of fake news is a common problem that online and social media are facing. There are different solutions that companies are applying to avoid this: Human fact-checking or artificial intelligence programs to solve the problem with technology. Both methods have failed so far. So what is a potential solution?
Is your pricing strategy accurate? Do your price points delight customers? Or, are you losing out to competition due to flawed pricing? It’s not just you; all businesses face these questions when reviewing their sales and pricing strategies.
Generate Insights. Optimize Budget. Increase Revenue. Ensure Efficient Knowledge Management. Increase Productivity. Maximize Efficiency. Enhance Collaboration. Manage Timely deliverables and dissemination.
Saudi Arabia’s macro-economic indicators have put a big question mark on the sustainability of Saudi riyal (SAR) peg to the US dollar at 3.75. Devaluation appears to be the only potent weapon for the kingdom to rein in soaring fiscal deficit, without constraining economic growth.
Practically every business today owns a website. Whatever industry you work in, and whether you’re selling direct to consumers in B2C or providing a knowledge portal for B2B clients, your website is probably your most important digital channel.
Pricing can determine whether your business succeeds or fails, which is why it’s a strategic priority for every organization. If you want to price your product to maximize sales, market share or profit, you need an effective pricing strategy—and analytics can help.
Knowledge management (KM) is the process of capturing, developing, sharing, and using organizational knowledge. Purposeful, concrete, and action-oriented knowledge management programs can yield impressive benefits for both individuals and organizations.
Every company is undergoing transformation as the digital age sets in. Automation, analytics, business intelligence, digitalization, and big data have become buzzwords for identifying and solving problems, making corporates somewhat less dependent on professional services (PS) firms for their routine analytical requirements.
Cognitive technology is the next big cost saving initiative in the world of procurement. We have taken a look at various cognitive solutions that are being implemented across industries and how they constructively evolve the overall maturity of the procurement organizations. The infographic below details these industries we have covered and their specific applications
One of our clients invited our chief strategist to help them assess the proposal they had received from a prominent AI tool. See why he believes AI providers are not spending enough time on the analytics value chain before pitching their services.
The new legislative proposal is expected to have a global impact on the ecosystem of how buy-side consumes sell-side research. The changes will create fresh challenges for the industry, but they will also bring some attention-worthy opportunities.
The long-term impact of Brexit is not yet clear, although market sentiments seem largely negative. Companies need to choose between making a move right now or waiting for UK–EU negotiations to play out.
Warren Bennis once said that the factory of the future will have only two employees – a man and a dog. The man will be there to feed the dog. The dog will be there to keep the man from touching the equipment. Are we in the vicinity of that future yet?
The world is generating data like never before and some companies have created very sophisticated big data use cases. Whether you consider this a violation of your privacy or an exciting sign of progress, these use cases exist. Law makers are playing catch up and the European Union is leading the field with its General Data Protection Regulation.
The asset management industry is already facing a number of challenges. How is the industry geared to meet technology-led disruption, including from FinTechs? Also, how are asset managers driving innovation across their value chain? Read to find out more.
Our team attended this year’s GE’s Minds and Machines conference in San Francisco. Read more to find out why we believe the question is no longer if digitization leads to better customer experience and higher productivity, but about the how behind it.
Our CEO Marc Vollenweider returns to the Innovation Ecosystem podcast to talk about the beginnings of Evalueserve, strategies to use mind+machine to drive innovation and of course his new book, Mind+Machine: A Decision Model for Optimizing and Implementing Analytics.
Big data gets a lot of attention from journalists these days. Look at any site publishing articles about data, analytics or business in general and I’m sure you’ll find a considerable number praising the potential of big data.
While 2000–2009 saw disruption due to outsourcing and offshoring, years (2009–2015) following the global financial crisis, witnessed a stricter global regulatory environment.
Decision makers want their invested resources to produce insights, not just gather a collection of data scientists, big data tools and AI algorithms.
Microsoft has shown many signs of warming up to the open source community: the .NET Core project, the SQL Server release for Linux, the incorporation of open source software into Azure: the signs are all there
Monitoring changing regulation environments can be a daunting task for global companies. In this post, we review how we helped a Fortune 500 client in dealing with this, by making use of our mind+machine approach to bring in efficiencies, data quality and granularity.
The Ring of Knowledge is a powerful 8 step process, designed to help ensure analytics use cases are set up correctly.
Depending on the policies of the winning candidate, the results of the US presidential elections will affect various sectors and businesses. Read on for highlights of the bullish and bearish implications of these elections.
The forecasted numbers of devices are staggering. Cisco, the largest networking provider in the world, estimates the number of connected devices to reach even 50 billion by 2020.
Energy companies, for example, are seeking tools to forecast demand fluctuation and predict overload situations, so that they can plan production accordingly.
Machine alone can’t deliver real insights or knowledge. Success lies in knowing how to mix the two. However, the key lies in knowing how to find the efficient frontier.
An analytics use case is the end-to-end analytics support solution applied once or repeatedly to a single business issue faced by an end-user or homogeneous group of end-users who need to make decisions, take actions, or deliver a product or service on time based on the insights delivered.
If you want to get the most out of your organization’s data, you need to have a really clear understanding of what successful analytics means.
Marc Vollenweider explains the five different building blocks that help us deliver solutions for our clients: analytics engine, productivity tools, workflow, dissemination, and knowledge management.
Investment in technology is not enough for successful digital transformation or how your customers perceive you as a brand.
Over the last few years, sell-side research firms have been under tremendous pressure to produce higher volumes of research that offer even deeper, better, and newer insights but with limited resources.
As the song goes, ‘the times they are a-changing’ for index providers and users. In the past decade, we have seen the rise of various financial regulations, which have created more challenges for the index industry.
In the Silicon Valley there is the perception that machines can do everything. Our CEO, Marc Vollenweider, does not think so. Machines can and will not replace humans, who are the creators of ideas and innovations. Watch our fourth video to learn more.
Today’s market is fierce. Companies across sectors are faced with neck-to-neck competition, struggling to gain a competitive edge
The banking sector showed its most vulnerable face during the 2008 recession. Strict regulations and measures enacted soon after the crisis has been keeping banks on their toes.
Managing customer churn is vital to business performance. As is researched and proven, a 5% improvement in customer retention rates increases profitability by 25 to close to 95%, as it is many times more expensive to acquire new customers than it is to retain an existing one.
Could the researcher get the same information from another data source at a better cost with no risk of non-compliance?
In our third video, Evalueserve’s CEO Marc Vollenweider talks about why mind+machine is the key differentiator for the company, and what is the difference to IT companies.
We believe more than 95% of analytic use cases will continue to need a human mind to deliver value to clients.
A lot of books have been published on the topics of analytics and big data, particularly over the past decade. In this blog post, our author Mahesh recommends three of them.
Out of more than a hundred exhibitors and 15 nominees, we were chosen as the winner of the award for the Best Lead Generation Tool.
How do you form a marketing or an asset management strategy?
After our major rebranding last year, we took up the next major project and developed our new and innovative website that shows the whole width of solutions and products we can offer.
In his second video, our CEO Marc Vollenweider talks about the four benefits of our mind+machine strategy for our clients: 1) Productivity increases 2) Reduce time-to-market 3) Quality improvements 4) Provide new capabilities to give our clients an edge in the market.
See the list of 10 must-watch TED Talks on mind+machine™ in our latest blog entry.
Earlier this month, KPMG signed with IBM’s Watson Supercomputer to take care of rule based tasks in auditing.
Evalueserve’s strategy is based on mind+machine. Now, what is mind+machine?
Risk data management is extremely important for banks, especially in times of financial crisis – and an efficient system for this task certainly has benefits.
A lot has been written over the last few years about the age of automation and how that will impact the future of work.
Imagine a potential client who wants investment advice but whose earnings, while relatively high, don’t put them in the right bracket for your company’s full services.
The research blog of CB Insights recently featured a really interesting post around 14 early-stage virtual assistant startups to watch.
Database subscription management is a high-priority activity for financial services firms.
There are many awards and listings, but as an entrepreneur, some make you prouder than others. For the second time already, we have been chosen as one of 1000 companies to inspire Britain by the London Stock Exchange (LSE).
There has been a flood of books on this topic in the last year or two. We have compiled a reading list of the top business books on automation and the future of work.
Business Insider recently ran an interesting post on this topic based on the results published from an algorithm by ExecRank.
With a year-on-year growth of 10.7% to a value of $11.7 billion (2014), the executive search and leadership consulting industry and the businesses it serves are facing a major challenge: they need to find good talent, faster.
Today’s dynamic and fast-paced businesses look for quick and informed decision-making, powered by real-time analysis of huge volumes of data.
Evalueserve has made great headway for our clients with our mind+machine™ approach.
These days, the popular media are full of articles about machines that use big data to perform almost any task without human intervention. But is this really true?